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<p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Shi%2C+C">Changfu Shi</a>, <a href="/search/?searchtype=author&amp;query=Che%2C+X">Xinyi Che</a>, <a href="/search/?searchtype=author&amp;query=Huang%2C+Z">Zeyu Huang</a>, <a href="/search/?searchtype=author&amp;query=Hu%2C+Y">Yi-Ming Hu</a>, <a href="/search/?searchtype=author&amp;query=Mei%2C+J">Jianwei Mei</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2411.17177v1-abstract-short" style="display: inline;"> Space-based gravitational wave detectors have the capability to detect signals from very high redshifts. It is interesting to know if such capability can be used to study the global structure of the cosmic space. In this paper, we focus on one particular question: if there exists a reflective cosmic boundary at the high redshift ($z&gt;15$), is it possible to find it? We find that, with the current l&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2411.17177v1-abstract-full').style.display = 'inline'; document.getElementById('2411.17177v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2411.17177v1-abstract-full" style="display: none;"> Space-based gravitational wave detectors have the capability to detect signals from very high redshifts. It is interesting to know if such capability can be used to study the global structure of the cosmic space. In this paper, we focus on one particular question: if there exists a reflective cosmic boundary at the high redshift ($z&gt;15$), is it possible to find it? We find that, with the current level of technology: 1) gravitational waves appear to be the only means with which that signatures from the cosmic boundary can possibly be detected; 2) a large variety of black holes, with masses roughly in the range $(10^3\sim 10^6) {\rm~M_\odot}$, can be used for the task; 3) in the presumably rare but physically possible case that two merger events from the growth history of a massive black hole are detected coincidentally, a detector network like TianQin+LISA is essential in help improving the chance to determine the orientation of the cosmic boundary; 4) the possibility to prove or disprove the presence of the cosmic boundary largely depends on how likely one can detect multiple pairs of coincident gravitational wave events. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2411.17177v1-abstract-full').style.display = 'none'; document.getElementById('2411.17177v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 26 November, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> November 2024. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">11 pages, 6 figures</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2411.13790">arXiv:2411.13790</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2411.13790">pdf</a>, <a href="https://arxiv.org/ps/2411.13790">ps</a>, <a href="https://arxiv.org/format/2411.13790">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="High Energy Astrophysical Phenomena">astro-ph.HE</span> </div> <div class="is-inline-block" style="margin-left: 0.5rem"> <div class="tags has-addons"> <span class="tag is-dark is-size-7">doi</span> <span class="tag is-light is-size-7"><a class="" href="https://doi.org/10.1093/mnras/stab993">10.1093/mnras/stab993 <i class="fa fa-external-link" aria-hidden="true"></i></a></span> </div> </div> </div> <p class="title is-5 mathjax"> Compton scattering in the optically thick uniform spherical corona around the neutron star in an X-ray binary in two conditions </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Shi%2C+C">ChangSheng Shi</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2411.13790v1-abstract-short" style="display: inline;"> We consider the Compton scattering in the optically thick uniform spherical corona around a neutron star in an X-ray binary. In the scattering, the low energy seed photons (0.1 - 2.5 keV) are scattered in low energy electrons (2.5 - 10 keV) in the corona in two conditions, i.e. initial seed photons are scattered in a whole corona and scattered in every layer of the corona that are supposed to be d&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2411.13790v1-abstract-full').style.display = 'inline'; document.getElementById('2411.13790v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2411.13790v1-abstract-full" style="display: none;"> We consider the Compton scattering in the optically thick uniform spherical corona around a neutron star in an X-ray binary. In the scattering, the low energy seed photons (0.1 - 2.5 keV) are scattered in low energy electrons (2.5 - 10 keV) in the corona in two conditions, i.e. initial seed photons are scattered in a whole corona and scattered in every layer of the corona that are supposed to be divided into many layers.When the same number of input seed photons, the same corona parameters and the same energy distribution of all photons in the two conditions are considered, the approximately same number of output photons can be obtained, which means that there is approximately a transform invariance of layering the Comptonized corona. Thus the scattering in the layers of a multi-layered corona is approximately equal to the scattering in the whole corona by dividing the whole corona into several layers.It means that Compton scattering for the initial seed photons scattered in a whole optically thick spherical corona with uniformly distributed electrons also can be considered as that the multiple Compton scatterings take place in the layers of a multi-layered corona in order approximately, which can be used to explore some physical process in one part of a corona. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2411.13790v1-abstract-full').style.display = 'none'; document.getElementById('2411.13790v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 20 November, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> November 2024. </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2411.13750">arXiv:2411.13750</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2411.13750">pdf</a>, <a href="https://arxiv.org/ps/2411.13750">ps</a>, <a href="https://arxiv.org/format/2411.13750">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="High Energy Astrophysical Phenomena">astro-ph.HE</span> </div> </div> <p class="title is-5 mathjax"> Radiation mechanism of twin kilohertz quasi-periodic oscillations in neutron star low mass X-ray binaries </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Shi%2C+C">ChangSheng Shi</a>, <a href="/search/?searchtype=author&amp;query=Zhang%2C+G">GuoBao Zhang</a>, <a href="/search/?searchtype=author&amp;query=Zhang%2C+S">ShuangNan Zhang</a>, <a href="/search/?searchtype=author&amp;query=Li%2C+X">XiangDong Li</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2411.13750v1-abstract-short" style="display: inline;"> Context: The connection between quasi-periodic oscillations (QPOs) and magnetic fields has been investigated across various celestial bodies. Magnetohydrodynamics (MHD) waves have been employed to explain the simultaneous upper and lower kilohertz (kHz) QPOs. Nevertheless, the intricate and undefined formation pathways of twin kHz QPOs present a compelling avenue for exploration. This area of stud&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2411.13750v1-abstract-full').style.display = 'inline'; document.getElementById('2411.13750v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2411.13750v1-abstract-full" style="display: none;"> Context: The connection between quasi-periodic oscillations (QPOs) and magnetic fields has been investigated across various celestial bodies. Magnetohydrodynamics (MHD) waves have been employed to explain the simultaneous upper and lower kilohertz (kHz) QPOs. Nevertheless, the intricate and undefined formation pathways of twin kHz QPOs present a compelling avenue for exploration. This area of study holds great interest as it provides an opportunity to derive crucial parameters related to compact stars. Aims:We strives to develop a self-consistent model elucidating the radiation mechanism of twin kHz QPOs, subsequently comparing it with observations. Methods: A sample of 28 twin kHz QPOs observed from the X-ray binary 4U 1636--53 are used to compare with the results of the MCMC calculations according to our model of the radiation mechanism of twin kHz QPOs, which is related to twin MHD waves. Results: We obtain twenty-eight groups of parameters of 4U 1636--53 and a tight exponential fit between the flux and the temperature of seed photons to Compton up-scattering and find that the electron temperature in the corona around the neutron star decreases with the increasing temperature of the seed photons. Conclusions: The origin of twin kHz QPOs can be attributed to dual disturbances arising from twin MHD waves generated at the innermost radius of an accretion disc. The seed photons can be transported through a high temperature corona and Compton up-scattered. The variability of the photons with the frequencies of twin MHD waves can lead to the observed twin kHz QPOs. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2411.13750v1-abstract-full').style.display = 'none'; document.getElementById('2411.13750v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 20 November, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> November 2024. </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2411.12260">arXiv:2411.12260</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2411.12260">pdf</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Materials Science">cond-mat.mtrl-sci</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Mesoscale and Nanoscale Physics">cond-mat.mes-hall</span> </div> </div> <p class="title is-5 mathjax"> Noncollinear ferroelectric and screw-type antiferroelectric phases in a metal-free hybrid molecular crystal </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Wang%2C+N">Na Wang</a>, <a href="/search/?searchtype=author&amp;query=Shen%2C+Z">Zhong Shen</a>, <a href="/search/?searchtype=author&amp;query=Luo%2C+W">Wang Luo</a>, <a href="/search/?searchtype=author&amp;query=Li%2C+H">Hua-Kai Li</a>, <a href="/search/?searchtype=author&amp;query=Xu%2C+Z">Ze-Jiang Xu</a>, <a href="/search/?searchtype=author&amp;query=Shi%2C+C">Chao Shi</a>, <a href="/search/?searchtype=author&amp;query=Ye%2C+H">Heng-Yun Ye</a>, <a href="/search/?searchtype=author&amp;query=Dong%2C+S">Shuai Dong</a>, <a href="/search/?searchtype=author&amp;query=Miao%2C+L">Le-Ping Miao</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2411.12260v1-abstract-short" style="display: inline;"> Noncollinear dipole textures greatly extend the scientific merits and application perspective of ferroic materials. In fact, noncollinear spin textures have been well recognized as one of the core issues of condensed matter, e.g. cycloidal/conical magnets with multiferroicity and magnetic skyrmions with topological properties. However, the counterparts in electrical polarized materials are less st&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2411.12260v1-abstract-full').style.display = 'inline'; document.getElementById('2411.12260v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2411.12260v1-abstract-full" style="display: none;"> Noncollinear dipole textures greatly extend the scientific merits and application perspective of ferroic materials. In fact, noncollinear spin textures have been well recognized as one of the core issues of condensed matter, e.g. cycloidal/conical magnets with multiferroicity and magnetic skyrmions with topological properties. However, the counterparts in electrical polarized materials are less studied and thus urgently needed, since electric dipoles are usually aligned collinearly in most ferroelectrics/antiferroelectrics. Molecular crystals with electric dipoles provide a rich ore to explore the noncollinear polarity. Here we report an organic salt (H2Dabco)BrClO4 (H2Dabco = N,N&#39;-1,4-diazabicyclo[2.2.2]octonium) that shows a transition between the ferroelectric and antiferroelectric phases. Based on experimental characterizations and ab initio calculations, it is found that its electric dipoles present nontrivial noncollinear textures with $60^\circ$-twisting angle between the neighbours. Then the ferroelectric-antiferroelectric transition can be understood as the coding of twisting angle sequence. Our study reveals the unique science of noncollinear electric polarity. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2411.12260v1-abstract-full').style.display = 'none'; document.getElementById('2411.12260v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 19 November, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> November 2024. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">20 pages, 4 figures</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2411.11082">arXiv:2411.11082</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2411.11082">pdf</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Neural and Evolutionary Computing">cs.NE</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Computer Vision and Pattern Recognition">cs.CV</span> </div> </div> <p class="title is-5 mathjax"> STOP: Spatiotemporal Orthogonal Propagation for Weight-Threshold-Leakage Synergistic Training of Deep Spiking Neural Networks </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Gao%2C+H">Haoran Gao</a>, <a href="/search/?searchtype=author&amp;query=Zhou%2C+X">Xichuan Zhou</a>, <a href="/search/?searchtype=author&amp;query=Lin%2C+Y">Yingcheng Lin</a>, <a href="/search/?searchtype=author&amp;query=Tian%2C+M">Min Tian</a>, <a href="/search/?searchtype=author&amp;query=Liu%2C+L">Liyuan Liu</a>, <a href="/search/?searchtype=author&amp;query=Shi%2C+C">Cong Shi</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2411.11082v1-abstract-short" style="display: inline;"> The prevailing of artificial intelligence-of-things calls for higher energy-efficient edge computing paradigms, such as neuromorphic agents leveraging brain-inspired spiking neural network (SNN) models based on spatiotemporally sparse binary activations. However, the lack of efficient and high-accuracy deep SNN learning algorithms prevents them from practical edge deployments with a strictly bound&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2411.11082v1-abstract-full').style.display = 'inline'; document.getElementById('2411.11082v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2411.11082v1-abstract-full" style="display: none;"> The prevailing of artificial intelligence-of-things calls for higher energy-efficient edge computing paradigms, such as neuromorphic agents leveraging brain-inspired spiking neural network (SNN) models based on spatiotemporally sparse binary activations. However, the lack of efficient and high-accuracy deep SNN learning algorithms prevents them from practical edge deployments with a strictly bounded cost. In this paper, we propose a spatiotemporal orthogonal propagation (STOP) algorithm to tack this challenge. Our algorithm enables fully synergistic learning of synaptic weights as well as firing thresholds and leakage factors in spiking neurons to improve SNN accuracy, while under a unified temporally-forward trace-based framework to mitigate the huge memory requirement for storing neural states of all time-steps in the forward pass. Characteristically, the spatially-backward neuronal errors and temporally-forward traces propagate orthogonally to and independently of each other, substantially reducing computational overhead. Our STOP algorithm obtained high recognition accuracies of 99.53%, 94.84%, 74.92%, 98.26% and 77.10% on the MNIST, CIFAR-10, CIFAR-100, DVS-Gesture and DVS-CIFAR10 datasets with adequate SNNs of intermediate scales from LeNet-5 to ResNet-18. Compared with other deep SNN training works, our method is more plausible for edge intelligent scenarios where resources are limited but high-accuracy in-situ learning is desired. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2411.11082v1-abstract-full').style.display = 'none'; document.getElementById('2411.11082v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 17 November, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> November 2024. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">13 pages (exclude supplementary), 5 figures</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2411.08905">arXiv:2411.08905</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2411.08905">pdf</a>, <a href="https://arxiv.org/format/2411.08905">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Computational Engineering, Finance, and Science">cs.CE</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Numerical Analysis">math.NA</span> </div> </div> <p class="title is-5 mathjax"> Synthesis Method for Obtaining Characteristic Modes of Multi-Structure Systems </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Shi%2C+C">Chenbo Shi</a>, <a href="/search/?searchtype=author&amp;query=Gu%2C+X">Xin Gu</a>, <a href="/search/?searchtype=author&amp;query=Liang%2C+S">Shichen Liang</a>, <a href="/search/?searchtype=author&amp;query=Pan%2C+J">Jin Pan</a>, <a href="/search/?searchtype=author&amp;query=Zuo%2C+L">Le Zuo</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2411.08905v1-abstract-short" style="display: inline;"> This paper introduces an efficient method of characteristic mode decomposition for multi-structure systems. Our approach leverages the translation and rotation matrices associated with vector spherical wavefunctions, enabling the synthesis of a total system&#39;s characteristic modes through independent simulation of each constituent structure. We simplify the computationally demanding translation pro&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2411.08905v1-abstract-full').style.display = 'inline'; document.getElementById('2411.08905v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2411.08905v1-abstract-full" style="display: none;"> This paper introduces an efficient method of characteristic mode decomposition for multi-structure systems. Our approach leverages the translation and rotation matrices associated with vector spherical wavefunctions, enabling the synthesis of a total system&#39;s characteristic modes through independent simulation of each constituent structure. We simplify the computationally demanding translation problem by dividing it into three manageable sub-tasks: rotation, z-axis translation, and inverse rotation, which collectively enhance computational efficiency. Furthermore, this method facilitates the exploration of structural orientation effects without incurring additional computational overhead. To demonstrate the effectiveness of our approach, we present a series of compelling numerical examples that not only validate the accuracy of the method but also highlight its significant advantages. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2411.08905v1-abstract-full').style.display = 'none'; document.getElementById('2411.08905v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 29 October, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> November 2024. </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2411.08904">arXiv:2411.08904</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2411.08904">pdf</a>, <a href="https://arxiv.org/format/2411.08904">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Signal Processing">eess.SP</span> </div> </div> <p class="title is-5 mathjax"> Generalized Scattering Matrix of Antenna: Moment Solution, Compression Storage and Application </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Shi%2C+C">Chenbo Shi</a>, <a href="/search/?searchtype=author&amp;query=Pan%2C+J">Jin Pan</a>, <a href="/search/?searchtype=author&amp;query=Gu%2C+X">Xin Gu</a>, <a href="/search/?searchtype=author&amp;query=Liang%2C+S">Shichen Liang</a>, <a href="/search/?searchtype=author&amp;query=Zuo%2C+L">Le Zuo</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2411.08904v1-abstract-short" style="display: inline;"> This paper introduces a novel approach for computing the generalized scattering matrix (GSM) of antennas using the method of moments (MoM), circumventing many of the constraints associated with finite element methods (FEM). We also propose an effective storage scheme for the GSM, significantly reducing the storage burden for problems involving multiple frequency sampling points. Numerical results&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2411.08904v1-abstract-full').style.display = 'inline'; document.getElementById('2411.08904v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2411.08904v1-abstract-full" style="display: none;"> This paper introduces a novel approach for computing the generalized scattering matrix (GSM) of antennas using the method of moments (MoM), circumventing many of the constraints associated with finite element methods (FEM). We also propose an effective storage scheme for the GSM, significantly reducing the storage burden for problems involving multiple frequency sampling points. Numerical results validate the correctness of our formulations. Moreover, we provide a practical example of using the GSM to analyze the coupling effects between elements of an antenna array. This approach allows for the independent consideration of the array and its individual elements, showcasing the substantial advantages of GSM. These examples underscore the potential of GSM to enhance antenna design and analysis, particularly in complex configurations. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2411.08904v1-abstract-full').style.display = 'none'; document.getElementById('2411.08904v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 29 October, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> November 2024. </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2411.08461">arXiv:2411.08461</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2411.08461">pdf</a>, <a href="https://arxiv.org/ps/2411.08461">ps</a>, <a href="https://arxiv.org/format/2411.08461">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="High Energy Physics - Lattice">hep-lat</span> </div> </div> <p class="title is-5 mathjax"> Use QUDA for lattice QCD calculation with Python </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Jiang%2C+X">Xiangyu Jiang</a>, <a href="/search/?searchtype=author&amp;query=Shi%2C+C">Chunjiang Shi</a>, <a href="/search/?searchtype=author&amp;query=Chen%2C+Y">Ying Chen</a>, <a href="/search/?searchtype=author&amp;query=Gong%2C+M">Ming Gong</a>, <a href="/search/?searchtype=author&amp;query=Yang%2C+Y">Yi-Bo Yang</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2411.08461v1-abstract-short" style="display: inline;"> We developed PyQUDA, a Python wrapper for QUDA written in Cython, designed to facilitate lattice QCD calculations using the Python programming language. PyQUDA leverages the optimized linear algebra capabilities of NumPy/CuPy/PyTorch, along with the highly optimized lattice QCD operations provided by QUDA to accelerate research. This integration simplifies the process of writing calculation codes,&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2411.08461v1-abstract-full').style.display = 'inline'; document.getElementById('2411.08461v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2411.08461v1-abstract-full" style="display: none;"> We developed PyQUDA, a Python wrapper for QUDA written in Cython, designed to facilitate lattice QCD calculations using the Python programming language. PyQUDA leverages the optimized linear algebra capabilities of NumPy/CuPy/PyTorch, along with the highly optimized lattice QCD operations provided by QUDA to accelerate research. This integration simplifies the process of writing calculation codes, enabling researchers to build more complex Python packages like EasyDistillation for specific physics objectives. PyQUDA supports a range of lattice QCD operations, including hybrid Monte Carlo (HMC) with N-flavor clover/HISQ fermions and inversion for the Wilson/clover/HISQ fermion action with the multigrid solver. It also includes utility functions for reading lattice QCD data stored in Chroma, MILC, and $蠂$QCD formats. Type hints are supported by stub files and multi-GPU support is provided through mpi4py. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2411.08461v1-abstract-full').style.display = 'none'; document.getElementById('2411.08461v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 13 November, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> November 2024. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">11 pages, 3 listings</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2411.08126">arXiv:2411.08126</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2411.08126">pdf</a>, <a href="https://arxiv.org/format/2411.08126">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Machine Learning">stat.ML</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Machine Learning">cs.LG</span> </div> </div> <p class="title is-5 mathjax"> A Tale of Two Cities: Pessimism and Opportunism in Offline Dynamic Pricing </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Bian%2C+Z">Zeyu Bian</a>, <a href="/search/?searchtype=author&amp;query=Qi%2C+Z">Zhengling Qi</a>, <a href="/search/?searchtype=author&amp;query=Shi%2C+C">Cong Shi</a>, <a href="/search/?searchtype=author&amp;query=Wang%2C+L">Lan Wang</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2411.08126v1-abstract-short" style="display: inline;"> This paper studies offline dynamic pricing without data coverage assumption, thereby allowing for any price including the optimal one not being observed in the offline data. Previous approaches that rely on the various coverage assumptions such as that the optimal prices are observable, would lead to suboptimal decisions and consequently, reduced profits. We address this challenge by framing the p&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2411.08126v1-abstract-full').style.display = 'inline'; document.getElementById('2411.08126v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2411.08126v1-abstract-full" style="display: none;"> This paper studies offline dynamic pricing without data coverage assumption, thereby allowing for any price including the optimal one not being observed in the offline data. Previous approaches that rely on the various coverage assumptions such as that the optimal prices are observable, would lead to suboptimal decisions and consequently, reduced profits. We address this challenge by framing the problem to a partial identification framework. Specifically, we establish a partial identification bound for the demand parameter whose associated price is unobserved by leveraging the inherent monotonicity property in the pricing problem. We further incorporate pessimistic and opportunistic strategies within the proposed partial identification framework to derive the estimated policy. Theoretically, we establish rate-optimal finite-sample regret guarantees for both strategies. Empirically, we demonstrate the superior performance of the newly proposed methods via a synthetic environment. This research provides practitioners with valuable insights into offline pricing strategies in the challenging no-coverage setting, ultimately fostering sustainable growth and profitability of the company. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2411.08126v1-abstract-full').style.display = 'none'; document.getElementById('2411.08126v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 12 November, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> November 2024. </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2411.07730">arXiv:2411.07730</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2411.07730">pdf</a>, <a href="https://arxiv.org/ps/2411.07730">ps</a>, <a href="https://arxiv.org/format/2411.07730">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="High Energy Physics - Experiment">hep-ex</span> </div> </div> <p class="title is-5 mathjax"> Study of the light scalar $a_{0}(980)$ through the decay $D^{0} \to a_{0}(980)^-e^{+} 谓_{e}$ with $a_{0}(980)^- \to 畏蟺^-$ </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=BESIII+Collaboration"> BESIII Collaboration</a>, <a href="/search/?searchtype=author&amp;query=Ablikim%2C+M">M. Ablikim</a>, <a href="/search/?searchtype=author&amp;query=Achasov%2C+M+N">M. N. Achasov</a>, <a href="/search/?searchtype=author&amp;query=Adlarson%2C+P">P. Adlarson</a>, <a href="/search/?searchtype=author&amp;query=Afedulidis%2C+O">O. Afedulidis</a>, <a href="/search/?searchtype=author&amp;query=Ai%2C+X+C">X. C. Ai</a>, <a href="/search/?searchtype=author&amp;query=Aliberti%2C+R">R. Aliberti</a>, <a href="/search/?searchtype=author&amp;query=Amoroso%2C+A">A. Amoroso</a>, <a href="/search/?searchtype=author&amp;query=An%2C+Q">Q. An</a>, <a href="/search/?searchtype=author&amp;query=Bai%2C+Y">Y. Bai</a>, <a href="/search/?searchtype=author&amp;query=Bakina%2C+O">O. Bakina</a>, <a href="/search/?searchtype=author&amp;query=Balossino%2C+I">I. Balossino</a>, <a href="/search/?searchtype=author&amp;query=Ban%2C+Y">Y. Ban</a>, <a href="/search/?searchtype=author&amp;query=Bao%2C+H+-">H. -R. Bao</a>, <a href="/search/?searchtype=author&amp;query=Batozskaya%2C+V">V. Batozskaya</a>, <a href="/search/?searchtype=author&amp;query=Begzsuren%2C+K">K. Begzsuren</a>, <a href="/search/?searchtype=author&amp;query=Berger%2C+N">N. Berger</a>, <a href="/search/?searchtype=author&amp;query=Berlowski%2C+M">M. Berlowski</a>, <a href="/search/?searchtype=author&amp;query=Bertani%2C+M">M. Bertani</a>, <a href="/search/?searchtype=author&amp;query=Bettoni%2C+D">D. Bettoni</a>, <a href="/search/?searchtype=author&amp;query=Bianchi%2C+F">F. Bianchi</a>, <a href="/search/?searchtype=author&amp;query=Bianco%2C+E">E. Bianco</a>, <a href="/search/?searchtype=author&amp;query=Bortone%2C+A">A. Bortone</a>, <a href="/search/?searchtype=author&amp;query=Boyko%2C+I">I. Boyko</a>, <a href="/search/?searchtype=author&amp;query=Briere%2C+R+A">R. A. Briere</a> , et al. (649 additional authors not shown) </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2411.07730v1-abstract-short" style="display: inline;"> Using 7.93 ${\rm fb^{-1}}$ of $e^+e^-$ collision data collected at a center-of-mass energy of 3.773 ${\rm GeV}$ with the BESIII detector, we present an analysis of the decay $D^{0} \to 畏蟺^- e^+ 谓_{e}$. The branching fraction of the decay $D^{0} \to a_{0}(980)^{-} e^+ 谓_{e}$ with $a_{0}(980)^{-} \to 畏蟺^{-}$ is measured to be $(0.86\pm0.17_{\text{stat}}\pm0.05_{\text{syst}})\times 10^{-4}$. The deca&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2411.07730v1-abstract-full').style.display = 'inline'; document.getElementById('2411.07730v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2411.07730v1-abstract-full" style="display: none;"> Using 7.93 ${\rm fb^{-1}}$ of $e^+e^-$ collision data collected at a center-of-mass energy of 3.773 ${\rm GeV}$ with the BESIII detector, we present an analysis of the decay $D^{0} \to 畏蟺^- e^+ 谓_{e}$. The branching fraction of the decay $D^{0} \to a_{0}(980)^{-} e^+ 谓_{e}$ with $a_{0}(980)^{-} \to 畏蟺^{-}$ is measured to be $(0.86\pm0.17_{\text{stat}}\pm0.05_{\text{syst}})\times 10^{-4}$. The decay dynamics of this process is studied with a single-pole parameterization of the hadronic form factor and the Flatt茅 formula describing the $a_0(980)$ line shape in the differential decay rate. The product of the form factor $f^{ a_0}_{+}(0)$ and the Cabibbo-Kobayashi-Maskawa matrix element $|V_{cd}|$ is determined for the first time with the result $f^{ a_0}_+(0)|V_{cd}|=0.126\pm0.013_{\rm stat}\pm0.003_{\rm syst}$. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2411.07730v1-abstract-full').style.display = 'none'; document.getElementById('2411.07730v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 12 November, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> November 2024. </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2410.23041">arXiv:2410.23041</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2410.23041">pdf</a>, <a href="https://arxiv.org/format/2410.23041">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Artificial Intelligence">cs.AI</span> </div> </div> <p class="title is-5 mathjax"> Emotional RAG: Enhancing Role-Playing Agents through Emotional Retrieval </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Huang%2C+L">Le Huang</a>, <a href="/search/?searchtype=author&amp;query=Lan%2C+H">Hengzhi Lan</a>, <a href="/search/?searchtype=author&amp;query=Sun%2C+Z">Zijun Sun</a>, <a href="/search/?searchtype=author&amp;query=Shi%2C+C">Chuan Shi</a>, <a href="/search/?searchtype=author&amp;query=Bai%2C+T">Ting Bai</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2410.23041v1-abstract-short" style="display: inline;"> As LLMs exhibit a high degree of human-like capability, increasing attention has been paid to role-playing research areas in which responses generated by LLMs are expected to mimic human replies. This has promoted the exploration of role-playing agents in various applications, such as chatbots that can engage in natural conversations with users and virtual assistants that can provide personalized&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2410.23041v1-abstract-full').style.display = 'inline'; document.getElementById('2410.23041v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2410.23041v1-abstract-full" style="display: none;"> As LLMs exhibit a high degree of human-like capability, increasing attention has been paid to role-playing research areas in which responses generated by LLMs are expected to mimic human replies. This has promoted the exploration of role-playing agents in various applications, such as chatbots that can engage in natural conversations with users and virtual assistants that can provide personalized support and guidance. The crucial factor in the role-playing task is the effective utilization of character memory, which stores characters&#39; profiles, experiences, and historical dialogues. Retrieval Augmented Generation (RAG) technology is used to access the related memory to enhance the response generation of role-playing agents. Most existing studies retrieve related information based on the semantic similarity of memory to maintain characters&#39; personalized traits, and few attempts have been made to incorporate the emotional factor in the retrieval argument generation (RAG) of LLMs. Inspired by the Mood-Dependent Memory theory, which indicates that people recall an event better if they somehow reinstate during recall the original emotion they experienced during learning, we propose a novel emotion-aware memory retrieval framework, termed Emotional RAG, which recalls the related memory with consideration of emotional state in role-playing agents. Specifically, we design two kinds of retrieval strategies, i.e., combination strategy and sequential strategy, to incorporate both memory semantic and emotional states during the retrieval process. Extensive experiments on three representative role-playing datasets demonstrate that our Emotional RAG framework outperforms the method without considering the emotional factor in maintaining the personalities of role-playing agents. This provides evidence to further reinforce the Mood-Dependent Memory theory in psychology. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2410.23041v1-abstract-full').style.display = 'none'; document.getElementById('2410.23041v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 30 October, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> October 2024. </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2410.22672">arXiv:2410.22672</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2410.22672">pdf</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Robotics">cs.RO</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Systems and Control">eess.SY</span> </div> </div> <p class="title is-5 mathjax"> IM-GIV: an effective integrity monitoring scheme for tightly-coupled GNSS/INS/Vision integration based on factor graph optimization </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Tian%2C+Y">Yunong Tian</a>, <a href="/search/?searchtype=author&amp;query=Li%2C+T">Tuan Li</a>, <a href="/search/?searchtype=author&amp;query=Jiang%2C+H">Haitao Jiang</a>, <a href="/search/?searchtype=author&amp;query=Wang%2C+Z">Zhipeng Wang</a>, <a href="/search/?searchtype=author&amp;query=Shi%2C+C">Chuang Shi</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2410.22672v1-abstract-short" style="display: inline;"> Global Navigation Satellite System/Inertial Navigation System (GNSS/INS)/Vision integration based on factor graph optimization (FGO) has recently attracted extensive attention in navigation and robotics community. Integrity monitoring (IM) capability is required when FGO-based integrated navigation system is used for safety-critical applications. However, traditional researches on IM of integrated&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2410.22672v1-abstract-full').style.display = 'inline'; document.getElementById('2410.22672v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2410.22672v1-abstract-full" style="display: none;"> Global Navigation Satellite System/Inertial Navigation System (GNSS/INS)/Vision integration based on factor graph optimization (FGO) has recently attracted extensive attention in navigation and robotics community. Integrity monitoring (IM) capability is required when FGO-based integrated navigation system is used for safety-critical applications. However, traditional researches on IM of integrated navigation system are mostly based on Kalman filter. It is urgent to develop effective IM scheme for FGO-based GNSS/INS/Vision integration. In this contribution, the position error bounding formula to ensure the integrity of the GNSS/INS/Vision integration based on FGO is designed and validated for the first time. It can be calculated by the linearized equations from the residuals of GNSS pseudo-range, IMU pre-integration and visual measurements. The specific position error bounding is given in the case of GNSS, INS and visual measurement faults. Field experiments were conducted to evaluate and validate the performance of the proposed position error bounding. Experimental results demonstrate that the proposed position error bounding for the GNSS/INS/Vision integration based on FGO can correctly fit the position error against different fault modes, and the availability of integrity in six fault modes is 100% after correct and timely fault exclusion. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2410.22672v1-abstract-full').style.display = 'none'; document.getElementById('2410.22672v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 29 October, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> October 2024. </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2410.21841">arXiv:2410.21841</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2410.21841">pdf</a>, <a href="https://arxiv.org/ps/2410.21841">ps</a>, <a href="https://arxiv.org/format/2410.21841">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="High Energy Physics - Experiment">hep-ex</span> </div> </div> <p class="title is-5 mathjax"> Search for $螞$-$\bar螞 $ oscillation in $J/蠄\rightarrow螞\bar螞$ decay </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=BESIII+Collaboration"> BESIII Collaboration</a>, <a href="/search/?searchtype=author&amp;query=Ablikim%2C+M">M. Ablikim</a>, <a href="/search/?searchtype=author&amp;query=Achasov%2C+M+N">M. N. Achasov</a>, <a href="/search/?searchtype=author&amp;query=Adlarson%2C+P">P. Adlarson</a>, <a href="/search/?searchtype=author&amp;query=Afedulidis%2C+O">O. Afedulidis</a>, <a href="/search/?searchtype=author&amp;query=Ai%2C+X+C">X. C. Ai</a>, <a href="/search/?searchtype=author&amp;query=Aliberti%2C+R">R. Aliberti</a>, <a href="/search/?searchtype=author&amp;query=Amoroso%2C+A">A. Amoroso</a>, <a href="/search/?searchtype=author&amp;query=An%2C+Q">Q. An</a>, <a href="/search/?searchtype=author&amp;query=Bai%2C+Y">Y. Bai</a>, <a href="/search/?searchtype=author&amp;query=Bakina%2C+O">O. Bakina</a>, <a href="/search/?searchtype=author&amp;query=Balossino%2C+I">I. Balossino</a>, <a href="/search/?searchtype=author&amp;query=Ban%2C+Y">Y. Ban</a>, <a href="/search/?searchtype=author&amp;query=Bao%2C+H+-">H. -R. Bao</a>, <a href="/search/?searchtype=author&amp;query=Batozskaya%2C+V">V. Batozskaya</a>, <a href="/search/?searchtype=author&amp;query=Begzsuren%2C+K">K. Begzsuren</a>, <a href="/search/?searchtype=author&amp;query=Berger%2C+N">N. Berger</a>, <a href="/search/?searchtype=author&amp;query=Berlowski%2C+M">M. Berlowski</a>, <a href="/search/?searchtype=author&amp;query=Bertani%2C+M">M. Bertani</a>, <a href="/search/?searchtype=author&amp;query=Bettoni%2C+D">D. Bettoni</a>, <a href="/search/?searchtype=author&amp;query=Bianchi%2C+F">F. Bianchi</a>, <a href="/search/?searchtype=author&amp;query=Bianco%2C+E">E. Bianco</a>, <a href="/search/?searchtype=author&amp;query=Bortone%2C+A">A. Bortone</a>, <a href="/search/?searchtype=author&amp;query=Boyko%2C+I">I. Boyko</a>, <a href="/search/?searchtype=author&amp;query=Briere%2C+R+A">R. A. Briere</a> , et al. (638 additional authors not shown) </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2410.21841v2-abstract-short" style="display: inline;"> Using $(10087\pm44)\times 10^{6}$ $J/蠄$ decays collected by the BESIII detector at the BEPCII collider, we search for baryon number violation via $螞-\bar螞$ oscillation in the decay $J/蠄\to 螞\bar螞$. No evidence for $螞-\bar螞$ oscillation is observed. The upper limit on the time-integrated probability of $螞-\bar螞$ oscillation is estimated to be $1.4\times 10^{-6}$, corresponding to an oscillation par&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2410.21841v2-abstract-full').style.display = 'inline'; document.getElementById('2410.21841v2-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2410.21841v2-abstract-full" style="display: none;"> Using $(10087\pm44)\times 10^{6}$ $J/蠄$ decays collected by the BESIII detector at the BEPCII collider, we search for baryon number violation via $螞-\bar螞$ oscillation in the decay $J/蠄\to 螞\bar螞$. No evidence for $螞-\bar螞$ oscillation is observed. The upper limit on the time-integrated probability of $螞-\bar螞$ oscillation is estimated to be $1.4\times 10^{-6}$, corresponding to an oscillation parameter less than $2.1\times 10^{-18}~\mathrm{GeV}$ at $90\%$ confidence level. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2410.21841v2-abstract-full').style.display = 'none'; document.getElementById('2410.21841v2-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 29 October, 2024; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 29 October, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> October 2024. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">8 pages, 2 figures</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2410.18403">arXiv:2410.18403</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2410.18403">pdf</a>, <a href="https://arxiv.org/format/2410.18403">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Biomolecules">q-bio.BM</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Machine Learning">cs.LG</span> </div> </div> <p class="title is-5 mathjax"> Structure Language Models for Protein Conformation Generation </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Lu%2C+J">Jiarui Lu</a>, <a href="/search/?searchtype=author&amp;query=Chen%2C+X">Xiaoyin Chen</a>, <a href="/search/?searchtype=author&amp;query=Lu%2C+S+Z">Stephen Zhewen Lu</a>, <a href="/search/?searchtype=author&amp;query=Shi%2C+C">Chence Shi</a>, <a href="/search/?searchtype=author&amp;query=Guo%2C+H">Hongyu Guo</a>, <a href="/search/?searchtype=author&amp;query=Bengio%2C+Y">Yoshua Bengio</a>, <a href="/search/?searchtype=author&amp;query=Tang%2C+J">Jian Tang</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2410.18403v1-abstract-short" style="display: inline;"> Proteins adopt multiple structural conformations to perform their diverse biological functions, and understanding these conformations is crucial for advancing drug discovery. Traditional physics-based simulation methods often struggle with sampling equilibrium conformations and are computationally expensive. Recently, deep generative models have shown promise in generating protein conformations as&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2410.18403v1-abstract-full').style.display = 'inline'; document.getElementById('2410.18403v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2410.18403v1-abstract-full" style="display: none;"> Proteins adopt multiple structural conformations to perform their diverse biological functions, and understanding these conformations is crucial for advancing drug discovery. Traditional physics-based simulation methods often struggle with sampling equilibrium conformations and are computationally expensive. Recently, deep generative models have shown promise in generating protein conformations as a more efficient alternative. However, these methods predominantly rely on the diffusion process within a 3D geometric space, which typically centers around the vicinity of metastable states and is often inefficient in terms of runtime. In this paper, we introduce Structure Language Modeling (SLM) as a novel framework for efficient protein conformation generation. Specifically, the protein structures are first encoded into a compact latent space using a discrete variational auto-encoder, followed by conditional language modeling that effectively captures sequence-specific conformation distributions. This enables a more efficient and interpretable exploration of diverse ensemble modes compared to existing methods. Based on this general framework, we instantiate SLM with various popular LM architectures as well as proposing the ESMDiff, a novel BERT-like structure language model fine-tuned from ESM3 with masked diffusion. We verify our approach in various scenarios, including the equilibrium dynamics of BPTI, conformational change pairs, and intrinsically disordered proteins. SLM provides a highly efficient solution, offering a 20-100x speedup than existing methods in generating diverse conformations, shedding light on promising avenues for future research. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2410.18403v1-abstract-full').style.display = 'none'; document.getElementById('2410.18403v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 23 October, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> October 2024. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">Preprint. Under Review</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2410.18032">arXiv:2410.18032</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2410.18032">pdf</a>, <a href="https://arxiv.org/format/2410.18032">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Artificial Intelligence">cs.AI</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Computation and Language">cs.CL</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Multiagent Systems">cs.MA</span> </div> </div> <p class="title is-5 mathjax"> GraphTeam: Facilitating Large Language Model-based Graph Analysis via Multi-Agent Collaboration </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Li%2C+X">Xin Li</a>, <a href="/search/?searchtype=author&amp;query=Chu%2C+Q">Qizhi Chu</a>, <a href="/search/?searchtype=author&amp;query=Chen%2C+Y">Yubin Chen</a>, <a href="/search/?searchtype=author&amp;query=Liu%2C+Y">Yang Liu</a>, <a href="/search/?searchtype=author&amp;query=Liu%2C+Y">Yaoqi Liu</a>, <a href="/search/?searchtype=author&amp;query=Yu%2C+Z">Zekai Yu</a>, <a href="/search/?searchtype=author&amp;query=Chen%2C+W">Weize Chen</a>, <a href="/search/?searchtype=author&amp;query=Qian%2C+C">Chen Qian</a>, <a href="/search/?searchtype=author&amp;query=Shi%2C+C">Chuan Shi</a>, <a href="/search/?searchtype=author&amp;query=Yang%2C+C">Cheng Yang</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2410.18032v2-abstract-short" style="display: inline;"> Graphs are widely used for modeling relational data in real-world scenarios, such as social networks and urban computing. Existing LLM-based graph analysis approaches either integrate graph neural networks (GNNs) for specific machine learning tasks, limiting their transferability, or rely solely on LLMs&#39; internal reasoning ability, resulting in suboptimal performance. To address these limitations,&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2410.18032v2-abstract-full').style.display = 'inline'; document.getElementById('2410.18032v2-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2410.18032v2-abstract-full" style="display: none;"> Graphs are widely used for modeling relational data in real-world scenarios, such as social networks and urban computing. Existing LLM-based graph analysis approaches either integrate graph neural networks (GNNs) for specific machine learning tasks, limiting their transferability, or rely solely on LLMs&#39; internal reasoning ability, resulting in suboptimal performance. To address these limitations, we take advantage of recent advances in LLM-based agents, which have shown capabilities of utilizing external knowledge or tools for problem solving. By simulating human problem-solving strategies such as analogy and collaboration, we propose a multi-agent system based on LLMs named GraphTeam, for graph analysis. GraphTeam consists of five LLM-based agents from three modules, and the agents with different specialities can collaborate with each other to address complex problems. Specifically, (1) input-output normalization module: the question agent extracts and refines four key arguments from the original question, facilitating the problem understanding, and the answer agent organizes the results to meet the output requirement; (2) external knowledge retrieval module: we first build a knowledge base consisting of relevant documentation and experience information, and then the search agent retrieves the most relevant entries for each question. (3) problem-solving module: given the retrieved information from search agent, the coding agent uses established algorithms via programming to generate solutions, and in case the coding agent does not work, the reasoning agent will directly compute the results without programming. Extensive experiments on six graph analysis benchmarks demonstrate that GraphTeam achieves state-of-the-art performance with an average 25.85% improvement over the best baseline in terms of accuracy. The code and data are available at https://github.com/BUPT-GAMMA/GraphTeam. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2410.18032v2-abstract-full').style.display = 'none'; document.getElementById('2410.18032v2-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 7 November, 2024; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 23 October, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> October 2024. </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2410.16912">arXiv:2410.16912</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2410.16912">pdf</a>, <a href="https://arxiv.org/ps/2410.16912">ps</a>, <a href="https://arxiv.org/format/2410.16912">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="High Energy Physics - Experiment">hep-ex</span> </div> </div> <p class="title is-5 mathjax"> Measurement of the branching fractions of the decays $螞_{c}^{+}\rightarrow螞K_{S}^{0}K^{+}$, $螞_{c}^{+}\rightarrow螞K_{S}^{0}蟺^{+}$ and $螞_{c}^{+}\rightarrow螞K^{*+}$ </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=BESIII+Collaboration"> BESIII Collaboration</a>, <a href="/search/?searchtype=author&amp;query=Ablikim%2C+M">M. Ablikim</a>, <a href="/search/?searchtype=author&amp;query=Achasov%2C+M+N">M. N. Achasov</a>, <a href="/search/?searchtype=author&amp;query=Adlarson%2C+P">P. Adlarson</a>, <a href="/search/?searchtype=author&amp;query=Afedulidis%2C+O">O. Afedulidis</a>, <a href="/search/?searchtype=author&amp;query=Ai%2C+X+C">X. C. Ai</a>, <a href="/search/?searchtype=author&amp;query=Aliberti%2C+R">R. Aliberti</a>, <a href="/search/?searchtype=author&amp;query=Amoroso%2C+A">A. Amoroso</a>, <a href="/search/?searchtype=author&amp;query=An%2C+Q">Q. An</a>, <a href="/search/?searchtype=author&amp;query=Bai%2C+Y">Y. Bai</a>, <a href="/search/?searchtype=author&amp;query=Bakina%2C+O">O. Bakina</a>, <a href="/search/?searchtype=author&amp;query=Balossino%2C+I">I. Balossino</a>, <a href="/search/?searchtype=author&amp;query=Ban%2C+Y">Y. Ban</a>, <a href="/search/?searchtype=author&amp;query=Bao%2C+H+-">H. -R. Bao</a>, <a href="/search/?searchtype=author&amp;query=Batozskaya%2C+V">V. Batozskaya</a>, <a href="/search/?searchtype=author&amp;query=Begzsuren%2C+K">K. Begzsuren</a>, <a href="/search/?searchtype=author&amp;query=Berger%2C+N">N. Berger</a>, <a href="/search/?searchtype=author&amp;query=Berlowski%2C+M">M. Berlowski</a>, <a href="/search/?searchtype=author&amp;query=Bertani%2C+M">M. Bertani</a>, <a href="/search/?searchtype=author&amp;query=Bettoni%2C+D">D. Bettoni</a>, <a href="/search/?searchtype=author&amp;query=Bianchi%2C+F">F. Bianchi</a>, <a href="/search/?searchtype=author&amp;query=Bianco%2C+E">E. Bianco</a>, <a href="/search/?searchtype=author&amp;query=Bortone%2C+A">A. Bortone</a>, <a href="/search/?searchtype=author&amp;query=Boyko%2C+I">I. Boyko</a>, <a href="/search/?searchtype=author&amp;query=Briere%2C+R+A">R. A. Briere</a> , et al. (639 additional authors not shown) </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2410.16912v1-abstract-short" style="display: inline;"> Studies are performed of the Cabibbo-favored decay $螞_{c}^{+}\to螞K_{S}^{0}K^+$ and the singly Cabibbo-suppressed decay $螞_{c}^{+}\to螞K_{S}^{0}蟺^+$, based on a sample of $e^{+}e^{-}$ collision data, corresponding to an integrated luminosity of 4.5 fb$^{-1}$, accumulated at center-of-mass energies between $4599.53$ MeV and $4698.82$ MeV with the BESIII detector. The decay&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2410.16912v1-abstract-full').style.display = 'inline'; document.getElementById('2410.16912v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2410.16912v1-abstract-full" style="display: none;"> Studies are performed of the Cabibbo-favored decay $螞_{c}^{+}\to螞K_{S}^{0}K^+$ and the singly Cabibbo-suppressed decay $螞_{c}^{+}\to螞K_{S}^{0}蟺^+$, based on a sample of $e^{+}e^{-}$ collision data, corresponding to an integrated luminosity of 4.5 fb$^{-1}$, accumulated at center-of-mass energies between $4599.53$ MeV and $4698.82$ MeV with the BESIII detector. The decay $螞_{c}^{+}\to螞K_{S}^{0}蟺^+$ is observed for the first time. The branching fractions of $螞_{c}^{+}\to螞K_{S}^{0}K^+$ and $螞_{c}^{+}\to螞K_{S}^{0}蟺^+$ are measured to be $(3.04\pm0.30\pm0.16)\times 10^{-3}$ and $(1.73\pm0.27\pm0.10)\times 10^{-3}$, respectively, where the first uncertainties are statistical and the second are systematic. These results correspond to the most precise measurement of these quantities for both decays. Evidence of a $K^{*+}$ contribution in the $螞_{c}^{+}\to螞K_{S}^{0}蟺^+$ decay is found with a statistical significance of $4.7蟽$. The branching fraction of $螞_{c}^{+}\to螞K^{*+}$ is calculated under three possible interference scenarios. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2410.16912v1-abstract-full').style.display = 'none'; document.getElementById('2410.16912v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 22 October, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> October 2024. </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2410.13515">arXiv:2410.13515</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2410.13515">pdf</a>, <a href="https://arxiv.org/format/2410.13515">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="High Energy Physics - Experiment">hep-ex</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="High Energy Physics - Lattice">hep-lat</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="High Energy Physics - Phenomenology">hep-ph</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Nuclear Experiment">nucl-ex</span> </div> </div> <p class="title is-5 mathjax"> Observation of a rare beta decay of the charmed baryon with a Graph Neural Network </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=BESIII+Collaboration"> BESIII Collaboration</a>, <a href="/search/?searchtype=author&amp;query=Ablikim%2C+M">M. Ablikim</a>, <a href="/search/?searchtype=author&amp;query=Achasov%2C+M+N">M. N. Achasov</a>, <a href="/search/?searchtype=author&amp;query=Adlarson%2C+P">P. Adlarson</a>, <a href="/search/?searchtype=author&amp;query=Afedulidis%2C+O">O. Afedulidis</a>, <a href="/search/?searchtype=author&amp;query=Ai%2C+X+C">X. C. Ai</a>, <a href="/search/?searchtype=author&amp;query=Aliberti%2C+R">R. Aliberti</a>, <a href="/search/?searchtype=author&amp;query=Amoroso%2C+A">A. Amoroso</a>, <a href="/search/?searchtype=author&amp;query=An%2C+Q">Q. An</a>, <a href="/search/?searchtype=author&amp;query=Bai%2C+Y">Y. Bai</a>, <a href="/search/?searchtype=author&amp;query=Bakina%2C+O">O. Bakina</a>, <a href="/search/?searchtype=author&amp;query=Balossino%2C+I">I. Balossino</a>, <a href="/search/?searchtype=author&amp;query=Ban%2C+Y">Y. Ban</a>, <a href="/search/?searchtype=author&amp;query=Bao%2C+H+-">H. -R. Bao</a>, <a href="/search/?searchtype=author&amp;query=Batozskaya%2C+V">V. Batozskaya</a>, <a href="/search/?searchtype=author&amp;query=Begzsuren%2C+K">K. Begzsuren</a>, <a href="/search/?searchtype=author&amp;query=Berger%2C+N">N. Berger</a>, <a href="/search/?searchtype=author&amp;query=Berlowski%2C+M">M. Berlowski</a>, <a href="/search/?searchtype=author&amp;query=Bertani%2C+M">M. Bertani</a>, <a href="/search/?searchtype=author&amp;query=Bettoni%2C+D">D. Bettoni</a>, <a href="/search/?searchtype=author&amp;query=Bianchi%2C+F">F. Bianchi</a>, <a href="/search/?searchtype=author&amp;query=Bianco%2C+E">E. Bianco</a>, <a href="/search/?searchtype=author&amp;query=Bortone%2C+A">A. Bortone</a>, <a href="/search/?searchtype=author&amp;query=Boyko%2C+I">I. Boyko</a>, <a href="/search/?searchtype=author&amp;query=Briere%2C+R+A">R. A. Briere</a> , et al. (637 additional authors not shown) </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2410.13515v1-abstract-short" style="display: inline;"> The study of beta decay of the charmed baryon provides unique insights into the fundamental mechanism of the strong and electro-weak interactions. The $螞_c^+$, being the lightest charmed baryon, undergoes disintegration solely through the charm quark weak decay. Its beta decay provides an ideal laboratory for investigating non-perturbative effects in quantum chromodynamics and for constraining the&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2410.13515v1-abstract-full').style.display = 'inline'; document.getElementById('2410.13515v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2410.13515v1-abstract-full" style="display: none;"> The study of beta decay of the charmed baryon provides unique insights into the fundamental mechanism of the strong and electro-weak interactions. The $螞_c^+$, being the lightest charmed baryon, undergoes disintegration solely through the charm quark weak decay. Its beta decay provides an ideal laboratory for investigating non-perturbative effects in quantum chromodynamics and for constraining the fundamental parameters of the Cabibbo-Kobayashi-Maskawa matrix in weak interaction theory. This article presents the first observation of the Cabibbo-suppressed $螞_c^+$ beta decay into a neutron $螞_c^+ \rightarrow n e^+ 谓_{e}$, based on $4.5~\mathrm{fb}^{-1}$ of electron-positron annihilation data collected with the BESIII detector in the energy region above the $螞^+_c\bar螞^-_c$ threshold. A novel machine learning technique, leveraging Graph Neural Networks, has been utilized to effectively separate signals from dominant backgrounds, particularly $螞_c^+ \rightarrow 螞e^+ 谓_{e}$. This approach has yielded a statistical significance of more than $10蟽$. The absolute branching fraction of $螞_c^+ \rightarrow n e^+ 谓_{e}$ is measured to be $(3.57\pm0.34_{\mathrm{stat}}\pm0.14_{\mathrm{syst}})\times 10^{-3}$. For the first time, the CKM matrix element $\left|V_{cd}\right|$ is extracted via a charmed baryon decay to be $0.208\pm0.011_{\rm exp.}\pm0.007_{\rm LQCD}\pm0.001_{蟿_{螞_c^+}}$. This study provides a new probe to further understand fundamental interactions in the charmed baryon sector, and demonstrates the power of modern machine learning techniques in enhancing experimental capability in high energy physics research. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2410.13515v1-abstract-full').style.display = 'none'; document.getElementById('2410.13515v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 17 October, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> October 2024. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">28 pages, 6 figures</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2410.13478">arXiv:2410.13478</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2410.13478">pdf</a>, <a href="https://arxiv.org/format/2410.13478">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="High Energy Physics - Experiment">hep-ex</span> </div> </div> <p class="title is-5 mathjax"> Observation of $蠂_{c0}\to危^{+}\bar危^{-}畏$ and evidence for $蠂_{c1,2}\to危^{+}\bar危^{-}畏$ </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=BESIII+Collaboration"> BESIII Collaboration</a>, <a href="/search/?searchtype=author&amp;query=Ablikim%2C+M">M. Ablikim</a>, <a href="/search/?searchtype=author&amp;query=Achasov%2C+M+N">M. N. Achasov</a>, <a href="/search/?searchtype=author&amp;query=Adlarson%2C+P">P. Adlarson</a>, <a href="/search/?searchtype=author&amp;query=Afedulidis%2C+O">O. Afedulidis</a>, <a href="/search/?searchtype=author&amp;query=Ai%2C+X+C">X. C. Ai</a>, <a href="/search/?searchtype=author&amp;query=Aliberti%2C+R">R. Aliberti</a>, <a href="/search/?searchtype=author&amp;query=Amoroso%2C+A">A. Amoroso</a>, <a href="/search/?searchtype=author&amp;query=An%2C+Q">Q. An</a>, <a href="/search/?searchtype=author&amp;query=Bai%2C+Y">Y. Bai</a>, <a href="/search/?searchtype=author&amp;query=Bakina%2C+O">O. Bakina</a>, <a href="/search/?searchtype=author&amp;query=Balossino%2C+I">I. Balossino</a>, <a href="/search/?searchtype=author&amp;query=Ban%2C+Y">Y. Ban</a>, <a href="/search/?searchtype=author&amp;query=Bao%2C+H+-">H. -R. Bao</a>, <a href="/search/?searchtype=author&amp;query=Batozskaya%2C+V">V. Batozskaya</a>, <a href="/search/?searchtype=author&amp;query=Begzsuren%2C+K">K. Begzsuren</a>, <a href="/search/?searchtype=author&amp;query=Berger%2C+N">N. Berger</a>, <a href="/search/?searchtype=author&amp;query=Berlowski%2C+M">M. Berlowski</a>, <a href="/search/?searchtype=author&amp;query=Bertani%2C+M">M. Bertani</a>, <a href="/search/?searchtype=author&amp;query=Bettoni%2C+D">D. Bettoni</a>, <a href="/search/?searchtype=author&amp;query=Bianchi%2C+F">F. Bianchi</a>, <a href="/search/?searchtype=author&amp;query=Bianco%2C+E">E. Bianco</a>, <a href="/search/?searchtype=author&amp;query=Bortone%2C+A">A. Bortone</a>, <a href="/search/?searchtype=author&amp;query=Boyko%2C+I">I. Boyko</a>, <a href="/search/?searchtype=author&amp;query=Briere%2C+R+A">R. A. Briere</a> , et al. (634 additional authors not shown) </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2410.13478v1-abstract-short" style="display: inline;"> Using $(27.12\pm 0.14)\times10^{8}$ $蠄(3686)$ events collected with the BESIII detector, the decay $蠂_{c0}\to危^{+}\bar危^{-}畏$ is observed for the first time with a statistical significance of $7.0蟽$, and evidence for $蠂_{c1}\to危^{+}\bar危^{-}畏$ and $蠂_{c2}\to危^{+}\bar危^{-}畏$ is found with statistical significances of $4.3蟽$ and $4.6蟽$, respectively. The branching fractions are determined to be&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2410.13478v1-abstract-full').style.display = 'inline'; document.getElementById('2410.13478v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2410.13478v1-abstract-full" style="display: none;"> Using $(27.12\pm 0.14)\times10^{8}$ $蠄(3686)$ events collected with the BESIII detector, the decay $蠂_{c0}\to危^{+}\bar危^{-}畏$ is observed for the first time with a statistical significance of $7.0蟽$, and evidence for $蠂_{c1}\to危^{+}\bar危^{-}畏$ and $蠂_{c2}\to危^{+}\bar危^{-}畏$ is found with statistical significances of $4.3蟽$ and $4.6蟽$, respectively. The branching fractions are determined to be $\mathcal{B}(蠂_{c0}\to危^{+}\bar危^{-}畏)=({1.26 \pm 0.20 \pm 0.13}) \times 10^{-4}, ~\mathcal{B}(蠂_{c1}\to危^{+}\bar危^{-}畏)=({5.10 \pm 1.21 \pm 0.67}) \times 10^{-5}$, and $\mathcal{B}(蠂_{c2}\to危^{+}\bar危^{-}畏)=({5.46 \pm 1.18 \pm 0.50}) \times 10^{-5}$, where the first uncertainties are statistical, and the second ones are systematic. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2410.13478v1-abstract-full').style.display = 'none'; document.getElementById('2410.13478v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 17 October, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> October 2024. </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2410.13368">arXiv:2410.13368</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2410.13368">pdf</a>, <a href="https://arxiv.org/format/2410.13368">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="High Energy Physics - Experiment">hep-ex</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="High Energy Physics - Phenomenology">hep-ph</span> </div> </div> <p class="title is-5 mathjax"> Observation of the Singly Cabibbo-Suppressed Decay $螞_c^{+}\to p蟺^0$ </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=BESIII+Collaboration"> BESIII Collaboration</a>, <a href="/search/?searchtype=author&amp;query=Ablikim%2C+M">M. Ablikim</a>, <a href="/search/?searchtype=author&amp;query=Achasov%2C+M+N">M. N. Achasov</a>, <a href="/search/?searchtype=author&amp;query=Adlarson%2C+P">P. Adlarson</a>, <a href="/search/?searchtype=author&amp;query=Afedulidis%2C+O">O. Afedulidis</a>, <a href="/search/?searchtype=author&amp;query=Ai%2C+X+C">X. C. Ai</a>, <a href="/search/?searchtype=author&amp;query=Aliberti%2C+R">R. Aliberti</a>, <a href="/search/?searchtype=author&amp;query=Amoroso%2C+A">A. Amoroso</a>, <a href="/search/?searchtype=author&amp;query=An%2C+Q">Q. An</a>, <a href="/search/?searchtype=author&amp;query=Bai%2C+Y">Y. Bai</a>, <a href="/search/?searchtype=author&amp;query=Bakina%2C+O">O. Bakina</a>, <a href="/search/?searchtype=author&amp;query=Balossino%2C+I">I. Balossino</a>, <a href="/search/?searchtype=author&amp;query=Ban%2C+Y">Y. Ban</a>, <a href="/search/?searchtype=author&amp;query=Bao%2C+H+-">H. -R. Bao</a>, <a href="/search/?searchtype=author&amp;query=Batozskaya%2C+V">V. Batozskaya</a>, <a href="/search/?searchtype=author&amp;query=Begzsuren%2C+K">K. Begzsuren</a>, <a href="/search/?searchtype=author&amp;query=Berger%2C+N">N. Berger</a>, <a href="/search/?searchtype=author&amp;query=Berlowski%2C+M">M. Berlowski</a>, <a href="/search/?searchtype=author&amp;query=Bertani%2C+M">M. Bertani</a>, <a href="/search/?searchtype=author&amp;query=Bettoni%2C+D">D. Bettoni</a>, <a href="/search/?searchtype=author&amp;query=Bianchi%2C+F">F. Bianchi</a>, <a href="/search/?searchtype=author&amp;query=Bianco%2C+E">E. Bianco</a>, <a href="/search/?searchtype=author&amp;query=Bortone%2C+A">A. Bortone</a>, <a href="/search/?searchtype=author&amp;query=Boyko%2C+I">I. Boyko</a>, <a href="/search/?searchtype=author&amp;query=Briere%2C+R+A">R. A. Briere</a> , et al. (638 additional authors not shown) </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2410.13368v1-abstract-short" style="display: inline;"> Utilizing 4.5${~\rm{fb}}^{-1}$ of $e^+e^-$ annihilation data collected with the BESIII detector at the BEPCII collider at center-of-mass energies between 4.600 and 4.699 GeV, the first observation of the singly Cabibbo-suppressed decay $螞_c^{+}\to p蟺^0$ is presented, with a statistical significance of $5.4蟽$. The ratio of the branching fractions of $螞_c^{+}\to p蟺^0$ and $螞_c^{+}\to p畏$ is measured&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2410.13368v1-abstract-full').style.display = 'inline'; document.getElementById('2410.13368v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2410.13368v1-abstract-full" style="display: none;"> Utilizing 4.5${~\rm{fb}}^{-1}$ of $e^+e^-$ annihilation data collected with the BESIII detector at the BEPCII collider at center-of-mass energies between 4.600 and 4.699 GeV, the first observation of the singly Cabibbo-suppressed decay $螞_c^{+}\to p蟺^0$ is presented, with a statistical significance of $5.4蟽$. The ratio of the branching fractions of $螞_c^{+}\to p蟺^0$ and $螞_c^{+}\to p畏$ is measured as $\mathcal{B}(螞_c^{+}\to p蟺^0)/\mathcal{B}(螞_c^{+}\to p畏)=(0.120\pm0.026_{\rm stat.}\pm0.007_{\rm syst.})$. This result resolves the longstanding discrepancy between earlier experimental searches, providing both a decisive conclusion and valuable input for QCD-inspired theoretical models. A sophisticated deep learning approach using a Transformer-based architecture is employed to distinguish the signal from the prevalent hadronic backgrounds, complemented by thorough validation and systematic uncertainty quantification. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2410.13368v1-abstract-full').style.display = 'none'; document.getElementById('2410.13368v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 17 October, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> October 2024. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">9 pages, 4 figures</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2410.13032">arXiv:2410.13032</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2410.13032">pdf</a>, <a href="https://arxiv.org/format/2410.13032">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Artificial Intelligence">cs.AI</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Machine Learning">cs.LG</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Machine Learning">stat.ML</span> </div> </div> <p class="title is-5 mathjax"> Hypothesis Testing the Circuit Hypothesis in LLMs </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Shi%2C+C">Claudia Shi</a>, <a href="/search/?searchtype=author&amp;query=Beltran-Velez%2C+N">Nicolas Beltran-Velez</a>, <a href="/search/?searchtype=author&amp;query=Nazaret%2C+A">Achille Nazaret</a>, <a href="/search/?searchtype=author&amp;query=Zheng%2C+C">Carolina Zheng</a>, <a href="/search/?searchtype=author&amp;query=Garriga-Alonso%2C+A">Adri脿 Garriga-Alonso</a>, <a href="/search/?searchtype=author&amp;query=Jesson%2C+A">Andrew Jesson</a>, <a href="/search/?searchtype=author&amp;query=Makar%2C+M">Maggie Makar</a>, <a href="/search/?searchtype=author&amp;query=Blei%2C+D+M">David M. Blei</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2410.13032v1-abstract-short" style="display: inline;"> Large language models (LLMs) demonstrate surprising capabilities, but we do not understand how they are implemented. One hypothesis suggests that these capabilities are primarily executed by small subnetworks within the LLM, known as circuits. But how can we evaluate this hypothesis? In this paper, we formalize a set of criteria that a circuit is hypothesized to meet and develop a suite of hypothe&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2410.13032v1-abstract-full').style.display = 'inline'; document.getElementById('2410.13032v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2410.13032v1-abstract-full" style="display: none;"> Large language models (LLMs) demonstrate surprising capabilities, but we do not understand how they are implemented. One hypothesis suggests that these capabilities are primarily executed by small subnetworks within the LLM, known as circuits. But how can we evaluate this hypothesis? In this paper, we formalize a set of criteria that a circuit is hypothesized to meet and develop a suite of hypothesis tests to evaluate how well circuits satisfy them. The criteria focus on the extent to which the LLM&#39;s behavior is preserved, the degree of localization of this behavior, and whether the circuit is minimal. We apply these tests to six circuits described in the research literature. We find that synthetic circuits -- circuits that are hard-coded in the model -- align with the idealized properties. Circuits discovered in Transformer models satisfy the criteria to varying degrees. To facilitate future empirical studies of circuits, we created the \textit{circuitry} package, a wrapper around the \textit{TransformerLens} library, which abstracts away lower-level manipulations of hooks and activations. The software is available at \url{https://github.com/blei-lab/circuitry}. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2410.13032v1-abstract-full').style.display = 'none'; document.getElementById('2410.13032v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 16 October, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> October 2024. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">Code available here: https://github.com/blei-lab/circuitry</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2410.12620">arXiv:2410.12620</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2410.12620">pdf</a>, <a href="https://arxiv.org/format/2410.12620">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="High Energy Physics - Experiment">hep-ex</span> </div> </div> <p class="title is-5 mathjax"> Search for $e^{+}e^{-} \to 蠁蠂_{c0}$ and $蠁畏_{c2}(1D)$ at center-of-mass energies from 4.47 to 4.95 GeV </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=BESIII+Collaboration"> BESIII Collaboration</a>, <a href="/search/?searchtype=author&amp;query=Ablikim%2C+M">M. Ablikim</a>, <a href="/search/?searchtype=author&amp;query=Achasov%2C+M+N">M. N. Achasov</a>, <a href="/search/?searchtype=author&amp;query=Adlarson%2C+P">P. Adlarson</a>, <a href="/search/?searchtype=author&amp;query=Afedulidis%2C+O">O. Afedulidis</a>, <a href="/search/?searchtype=author&amp;query=Ai%2C+X+C">X. C. Ai</a>, <a href="/search/?searchtype=author&amp;query=Aliberti%2C+R">R. Aliberti</a>, <a href="/search/?searchtype=author&amp;query=Amoroso%2C+A">A. Amoroso</a>, <a href="/search/?searchtype=author&amp;query=An%2C+Q">Q. An</a>, <a href="/search/?searchtype=author&amp;query=Bai%2C+Y">Y. Bai</a>, <a href="/search/?searchtype=author&amp;query=Bakina%2C+O">O. Bakina</a>, <a href="/search/?searchtype=author&amp;query=Balossino%2C+I">I. Balossino</a>, <a href="/search/?searchtype=author&amp;query=Ban%2C+Y">Y. Ban</a>, <a href="/search/?searchtype=author&amp;query=Bao%2C+H+-">H. -R. Bao</a>, <a href="/search/?searchtype=author&amp;query=Batozskaya%2C+V">V. Batozskaya</a>, <a href="/search/?searchtype=author&amp;query=Begzsuren%2C+K">K. Begzsuren</a>, <a href="/search/?searchtype=author&amp;query=Berger%2C+N">N. Berger</a>, <a href="/search/?searchtype=author&amp;query=Berlowski%2C+M">M. Berlowski</a>, <a href="/search/?searchtype=author&amp;query=Bertani%2C+M">M. Bertani</a>, <a href="/search/?searchtype=author&amp;query=Bettoni%2C+D">D. Bettoni</a>, <a href="/search/?searchtype=author&amp;query=Bianchi%2C+F">F. Bianchi</a>, <a href="/search/?searchtype=author&amp;query=Bianco%2C+E">E. Bianco</a>, <a href="/search/?searchtype=author&amp;query=Bortone%2C+A">A. Bortone</a>, <a href="/search/?searchtype=author&amp;query=Boyko%2C+I">I. Boyko</a>, <a href="/search/?searchtype=author&amp;query=Briere%2C+R+A">R. A. Briere</a> , et al. (644 additional authors not shown) </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2410.12620v1-abstract-short" style="display: inline;"> Utilizing a data set of $6.7$ fb$^{-1}$ from electron-positron collisions recorded by the BESIII detector at the BEPCII storage ring, a search is conducted for the processes $e^{+}e^{-} \to 蠁蠂_{c0}$ and $蠁畏_{c2}(1D)$ across center-of-mass energies from 4.47 to 4.95 GeV. In the absence of any significant signals, upper limits are set. These include limits on the Born cross sections for&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2410.12620v1-abstract-full').style.display = 'inline'; document.getElementById('2410.12620v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2410.12620v1-abstract-full" style="display: none;"> Utilizing a data set of $6.7$ fb$^{-1}$ from electron-positron collisions recorded by the BESIII detector at the BEPCII storage ring, a search is conducted for the processes $e^{+}e^{-} \to 蠁蠂_{c0}$ and $蠁畏_{c2}(1D)$ across center-of-mass energies from 4.47 to 4.95 GeV. In the absence of any significant signals, upper limits are set. These include limits on the Born cross sections for $e^{+}e^{-} \to 蠁蠂_{c0}$, as well as the product of the Born cross section for $e^{+}e^{-} \to 蠁畏_{c2}(1D)$ and a sum of five branching fractions. Furthermore, the product of the electronic width of $Y(4660)$ and the branching fraction of the $Y(4660) \to 蠁蠂_{c0}$, denoted as $螕^{Y(4660)}_{e^{+}e^{-}} \mathcal{B}_{Y(4660) \to 蠁蠂_{c0}}$, is determined to be $&lt; 0.40$ eV at the 90\% confidence level. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2410.12620v1-abstract-full').style.display = 'none'; document.getElementById('2410.12620v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 16 October, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> October 2024. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">14 pages, 6 figures</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2410.09859">arXiv:2410.09859</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2410.09859">pdf</a>, <a href="https://arxiv.org/format/2410.09859">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="High Energy Physics - Theory">hep-th</span> </div> </div> <p class="title is-5 mathjax"> The Cusp Limit of Correlators and A New Graphical Bootstrap for Correlators/Amplitudes to Eleven Loops </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=He%2C+S">Song He</a>, <a href="/search/?searchtype=author&amp;query=Shi%2C+C">Canxin Shi</a>, <a href="/search/?searchtype=author&amp;query=Tang%2C+Y">Yichao Tang</a>, <a href="/search/?searchtype=author&amp;query=Zhang%2C+Y">Yao-Qi Zhang</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2410.09859v1-abstract-short" style="display: inline;"> We consider the universal behavior of half-BPS correlators in $\mathcal N=4$ super-Yang-Mills in the cusp limit where two consecutive separations $x_{12}^2,x_{23}^2$ become lightlike. Through the Lagrangian insertion procedure, the Sudakov double-logarithmic divergence of the $n$-point correlator is related to the $(n+1)$-point correlator where the inserted Lagrangian ``pinches&#39;&#39; to the soft-colli&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2410.09859v1-abstract-full').style.display = 'inline'; document.getElementById('2410.09859v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2410.09859v1-abstract-full" style="display: none;"> We consider the universal behavior of half-BPS correlators in $\mathcal N=4$ super-Yang-Mills in the cusp limit where two consecutive separations $x_{12}^2,x_{23}^2$ become lightlike. Through the Lagrangian insertion procedure, the Sudakov double-logarithmic divergence of the $n$-point correlator is related to the $(n+1)$-point correlator where the inserted Lagrangian ``pinches&#39;&#39; to the soft-collinear region of the cusp. We formulate this constraint as a new {\it graphical rule} for the $f$-graphs of the four-point correlator, which turns out to be the most constraining rule known so far. By exploiting this single graphical rule, we bootstrap the planar integrand of the four-point correlator up to ten loops ($n=14$) and fix all 22024902 but one coefficient at eleven loops ($n=15$); the remaining coefficient is then fixed using the triangle rule. We comment on the breakdown of a ``Catalan conjecture&#34; for the coefficients of the family of $f$-graphs known as ``anti-prisms&#34; where the coefficient of the twelve-loop ($n=16$) anti-prism is found to be $-38$ (as opposed to $-42$ if the conjecture should hold) by a local analysis of the bootstrap equations. We also comment on the implication of our graphical rule for the non-planar contributions. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2410.09859v1-abstract-full').style.display = 'none'; document.getElementById('2410.09859v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 13 October, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> October 2024. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">26 pages, 5 figures</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2410.09701">arXiv:2410.09701</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2410.09701">pdf</a>, <a href="https://arxiv.org/format/2410.09701">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Machine Learning">stat.ML</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Computer Science and Game Theory">cs.GT</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Information Theory">cs.IT</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Machine Learning">cs.LG</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Multiagent Systems">cs.MA</span> </div> </div> <p class="title is-5 mathjax"> Transformers as Game Players: Provable In-context Game-playing Capabilities of Pre-trained Models </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Shi%2C+C">Chengshuai Shi</a>, <a href="/search/?searchtype=author&amp;query=Yang%2C+K">Kun Yang</a>, <a href="/search/?searchtype=author&amp;query=Yang%2C+J">Jing Yang</a>, <a href="/search/?searchtype=author&amp;query=Shen%2C+C">Cong Shen</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2410.09701v1-abstract-short" style="display: inline;"> The in-context learning (ICL) capability of pre-trained models based on the transformer architecture has received growing interest in recent years. While theoretical understanding has been obtained for ICL in reinforcement learning (RL), the previous results are largely confined to the single-agent setting. This work proposes to further explore the in-context learning capabilities of pre-trained t&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2410.09701v1-abstract-full').style.display = 'inline'; document.getElementById('2410.09701v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2410.09701v1-abstract-full" style="display: none;"> The in-context learning (ICL) capability of pre-trained models based on the transformer architecture has received growing interest in recent years. While theoretical understanding has been obtained for ICL in reinforcement learning (RL), the previous results are largely confined to the single-agent setting. This work proposes to further explore the in-context learning capabilities of pre-trained transformer models in competitive multi-agent games, i.e., in-context game-playing (ICGP). Focusing on the classical two-player zero-sum games, theoretical guarantees are provided to demonstrate that pre-trained transformers can provably learn to approximate Nash equilibrium in an in-context manner for both decentralized and centralized learning settings. As a key part of the proof, constructional results are established to demonstrate that the transformer architecture is sufficiently rich to realize celebrated multi-agent game-playing algorithms, in particular, decentralized V-learning and centralized VI-ULCB. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2410.09701v1-abstract-full').style.display = 'none'; document.getElementById('2410.09701v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 12 October, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> October 2024. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">Accepted to NeurIPS 2024</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2410.09034">arXiv:2410.09034</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2410.09034">pdf</a>, <a href="https://arxiv.org/format/2410.09034">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Computational Engineering, Finance, and Science">cs.CE</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Artificial Intelligence">cs.AI</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Computation and Language">cs.CL</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Multiagent Systems">cs.MA</span> </div> </div> <p class="title is-5 mathjax"> PEAR: A Robust and Flexible Automation Framework for Ptychography Enabled by Multiple Large Language Model Agents </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Yin%2C+X">Xiangyu Yin</a>, <a href="/search/?searchtype=author&amp;query=Shi%2C+C">Chuqiao Shi</a>, <a href="/search/?searchtype=author&amp;query=Han%2C+Y">Yimo Han</a>, <a href="/search/?searchtype=author&amp;query=Jiang%2C+Y">Yi Jiang</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2410.09034v1-abstract-short" style="display: inline;"> Ptychography is an advanced computational imaging technique in X-ray and electron microscopy. It has been widely adopted across scientific research fields, including physics, chemistry, biology, and materials science, as well as in industrial applications such as semiconductor characterization. In practice, obtaining high-quality ptychographic images requires simultaneous optimization of numerous&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2410.09034v1-abstract-full').style.display = 'inline'; document.getElementById('2410.09034v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2410.09034v1-abstract-full" style="display: none;"> Ptychography is an advanced computational imaging technique in X-ray and electron microscopy. It has been widely adopted across scientific research fields, including physics, chemistry, biology, and materials science, as well as in industrial applications such as semiconductor characterization. In practice, obtaining high-quality ptychographic images requires simultaneous optimization of numerous experimental and algorithmic parameters. Traditionally, parameter selection often relies on trial and error, leading to low-throughput workflows and potential human bias. In this work, we develop the &#34;Ptychographic Experiment and Analysis Robot&#34; (PEAR), a framework that leverages large language models (LLMs) to automate data analysis in ptychography. To ensure high robustness and accuracy, PEAR employs multiple LLM agents for tasks including knowledge retrieval, code generation, parameter recommendation, and image reasoning. Our study demonstrates that PEAR&#39;s multi-agent design significantly improves the workflow success rate, even with smaller open-weight models such as LLaMA 3.1 8B. PEAR also supports various automation levels and is designed to work with customized local knowledge bases, ensuring flexibility and adaptability across different research environments. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2410.09034v1-abstract-full').style.display = 'none'; document.getElementById('2410.09034v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 11 October, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> October 2024. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">18 pages, 5 figures, technical preview report</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2410.08603">arXiv:2410.08603</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2410.08603">pdf</a>, <a href="https://arxiv.org/format/2410.08603">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="High Energy Physics - Experiment">hep-ex</span> </div> </div> <p class="title is-5 mathjax"> Observation of $D^+\to畏^\prime渭^+谓_渭$ and First Study of $D^+\to 畏^\prime \ell^+谓_\ell$ Decay Dynamics </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=BESIII+Collaboration"> BESIII Collaboration</a>, <a href="/search/?searchtype=author&amp;query=Ablikim%2C+M">M. Ablikim</a>, <a href="/search/?searchtype=author&amp;query=Achasov%2C+M+N">M. N. Achasov</a>, <a href="/search/?searchtype=author&amp;query=Adlarson%2C+P">P. Adlarson</a>, <a href="/search/?searchtype=author&amp;query=Afedulidis%2C+O">O. Afedulidis</a>, <a href="/search/?searchtype=author&amp;query=Ai%2C+X+C">X. C. Ai</a>, <a href="/search/?searchtype=author&amp;query=Aliberti%2C+R">R. Aliberti</a>, <a href="/search/?searchtype=author&amp;query=Amoroso%2C+A">A. Amoroso</a>, <a href="/search/?searchtype=author&amp;query=An%2C+Q">Q. An</a>, <a href="/search/?searchtype=author&amp;query=Bai%2C+Y">Y. Bai</a>, <a href="/search/?searchtype=author&amp;query=Bakina%2C+O">O. Bakina</a>, <a href="/search/?searchtype=author&amp;query=Balossino%2C+I">I. Balossino</a>, <a href="/search/?searchtype=author&amp;query=Ban%2C+Y">Y. Ban</a>, <a href="/search/?searchtype=author&amp;query=Bao%2C+H+-">H. -R. Bao</a>, <a href="/search/?searchtype=author&amp;query=Batozskaya%2C+V">V. Batozskaya</a>, <a href="/search/?searchtype=author&amp;query=Begzsuren%2C+K">K. Begzsuren</a>, <a href="/search/?searchtype=author&amp;query=Berger%2C+N">N. Berger</a>, <a href="/search/?searchtype=author&amp;query=Berlowski%2C+M">M. Berlowski</a>, <a href="/search/?searchtype=author&amp;query=Bertani%2C+M">M. Bertani</a>, <a href="/search/?searchtype=author&amp;query=Bettoni%2C+D">D. Bettoni</a>, <a href="/search/?searchtype=author&amp;query=Bianchi%2C+F">F. Bianchi</a>, <a href="/search/?searchtype=author&amp;query=Bianco%2C+E">E. Bianco</a>, <a href="/search/?searchtype=author&amp;query=Bortone%2C+A">A. Bortone</a>, <a href="/search/?searchtype=author&amp;query=Boyko%2C+I">I. Boyko</a>, <a href="/search/?searchtype=author&amp;query=Briere%2C+R+A">R. A. Briere</a> , et al. (643 additional authors not shown) </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2410.08603v1-abstract-short" style="display: inline;"> Using $20.3\,\rm fb^{-1}$ of $e^+e^-$ collision data collected at the center-of-mass energy 3.773\,GeV with the BESIII detector, we report the first observation of the semileptonic decay $D^+\to 畏^\prime 渭^+谓_渭$ with significance of $8.6蟽$ including systematic uncertainties, and an improved measurement of $D^+\to 畏^\prime e^+谓_e$. The branching fractions of $D^+\to 畏^\prime 渭^+谓_渭$ and&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2410.08603v1-abstract-full').style.display = 'inline'; document.getElementById('2410.08603v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2410.08603v1-abstract-full" style="display: none;"> Using $20.3\,\rm fb^{-1}$ of $e^+e^-$ collision data collected at the center-of-mass energy 3.773\,GeV with the BESIII detector, we report the first observation of the semileptonic decay $D^+\to 畏^\prime 渭^+谓_渭$ with significance of $8.6蟽$ including systematic uncertainties, and an improved measurement of $D^+\to 畏^\prime e^+谓_e$. The branching fractions of $D^+\to 畏^\prime 渭^+谓_渭$ and $D^+\to 畏^\prime e^+谓_e$ are determined to be $(1.92\pm0.28_{\rm stat}\pm 0.08_{\rm syst})\times 10^{-4}$ and $(1.79\pm0.19_{\rm stat}\pm 0.07_{\rm syst})\times 10^{-4}$, respectively. From an analysis of the $D^+\to 畏^\prime \ell^+谓_\ell$ decay dynamics, the product of the hadronic form factor $f_+^{畏^{\prime}}(0)$ and the CKM matrix element $|V_{cd}|$ is measured for the first time, giving $f^{畏^\prime}_+(0)|V_{cd}| = (5.92\pm0.56_{\rm stat}\pm0.13_{\rm syst})\times 10^{-2}$. No evidence for violation of $渭-e$ lepton-flavor universality is found in both the full range and several bins of $\ell^+谓_\ell$ four-momentum transfer. The $畏-畏^\prime$ mixing angle in the quark flavor basis is determined to be $蠁_{\rm P} =(39.8\pm0.8_{\rm stat}\pm0.3_{\rm syst})^\circ$. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2410.08603v1-abstract-full').style.display = 'none'; document.getElementById('2410.08603v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 11 October, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> October 2024. </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2410.07626">arXiv:2410.07626</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2410.07626">pdf</a>, <a href="https://arxiv.org/format/2410.07626">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="High Energy Physics - Experiment">hep-ex</span> </div> </div> <p class="title is-5 mathjax"> Precision Measurement of the Branching Fraction of $D^{+}\to 渭^{+}谓_渭$ </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=BESIII+Collaboration"> BESIII Collaboration</a>, <a href="/search/?searchtype=author&amp;query=Ablikim%2C+M">M. Ablikim</a>, <a href="/search/?searchtype=author&amp;query=Achasov%2C+M+N">M. N. Achasov</a>, <a href="/search/?searchtype=author&amp;query=Adlarson%2C+P">P. Adlarson</a>, <a href="/search/?searchtype=author&amp;query=Afedulidis%2C+O">O. Afedulidis</a>, <a href="/search/?searchtype=author&amp;query=Ai%2C+X+C">X. C. Ai</a>, <a href="/search/?searchtype=author&amp;query=Aliberti%2C+R">R. Aliberti</a>, <a href="/search/?searchtype=author&amp;query=Amoroso%2C+A">A. Amoroso</a>, <a href="/search/?searchtype=author&amp;query=An%2C+Q">Q. An</a>, <a href="/search/?searchtype=author&amp;query=Bai%2C+Y">Y. Bai</a>, <a href="/search/?searchtype=author&amp;query=Bakina%2C+O">O. Bakina</a>, <a href="/search/?searchtype=author&amp;query=Balossino%2C+I">I. Balossino</a>, <a href="/search/?searchtype=author&amp;query=Ban%2C+Y">Y. Ban</a>, <a href="/search/?searchtype=author&amp;query=Bao%2C+H+-">H. -R. Bao</a>, <a href="/search/?searchtype=author&amp;query=Batozskaya%2C+V">V. Batozskaya</a>, <a href="/search/?searchtype=author&amp;query=Begzsuren%2C+K">K. Begzsuren</a>, <a href="/search/?searchtype=author&amp;query=Berger%2C+N">N. Berger</a>, <a href="/search/?searchtype=author&amp;query=Berlowski%2C+M">M. Berlowski</a>, <a href="/search/?searchtype=author&amp;query=Bertani%2C+M">M. Bertani</a>, <a href="/search/?searchtype=author&amp;query=Bettoni%2C+D">D. Bettoni</a>, <a href="/search/?searchtype=author&amp;query=Bianchi%2C+F">F. Bianchi</a>, <a href="/search/?searchtype=author&amp;query=Bianco%2C+E">E. Bianco</a>, <a href="/search/?searchtype=author&amp;query=Bortone%2C+A">A. Bortone</a>, <a href="/search/?searchtype=author&amp;query=Boyko%2C+I">I. Boyko</a>, <a href="/search/?searchtype=author&amp;query=Briere%2C+R+A">R. A. Briere</a> , et al. (643 additional authors not shown) </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2410.07626v1-abstract-short" style="display: inline;"> Using $20.3~\mathrm{fb}^{-1}$ of $e^+e^-$ collision data collected at a center-of-mass energy of $E_{\rm cm}=3.773$ GeV with the BESIII detector operating at the BEPCII collider, we determine the branching fraction of the leptonic decay $D^+\to渭^+谓_渭$ to be $(3.981\pm0.079_{\rm stat}\pm0.040_{\rm syst})\times10^{-4}$. Interpreting our measurement with knowledge of the Fermi coupling constant&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2410.07626v1-abstract-full').style.display = 'inline'; document.getElementById('2410.07626v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2410.07626v1-abstract-full" style="display: none;"> Using $20.3~\mathrm{fb}^{-1}$ of $e^+e^-$ collision data collected at a center-of-mass energy of $E_{\rm cm}=3.773$ GeV with the BESIII detector operating at the BEPCII collider, we determine the branching fraction of the leptonic decay $D^+\to渭^+谓_渭$ to be $(3.981\pm0.079_{\rm stat}\pm0.040_{\rm syst})\times10^{-4}$. Interpreting our measurement with knowledge of the Fermi coupling constant $G_F$, the masses of the $D^+$ and $渭^+$ as well as the lifetime of the $D^+$, we determine $f_{D^+}|V_{cd}|=(47.53\pm0.48_{\rm stat}\pm0.24_{\rm syst}\pm0.12_{\rm input})~\mathrm{MeV}$. This result is a factor of 2.3 more precise than the previous best measurement. Using the value of the magnitude of the Cabibbo-Kobayashi-Maskawa matrix element $|V_{cd}|$ given by the global standard model fit, we obtain the $D^+$ decay constant $f_{D^+}=(211.5\pm2.3_{\rm stat}\pm1.1_{\rm syst}\pm0.8_{\rm input})$ MeV. Alternatively, using the value of $f_{D^+}$ from a precise lattice quantum chromodynamics calculation, we extract $|V_{cd}|=0.2242\pm0.0023_{\rm stat}\pm0.0011_{\rm syst}\pm0.0009_{\rm input}$. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2410.07626v1-abstract-full').style.display = 'none'; document.getElementById('2410.07626v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 10 October, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> October 2024. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">9 pages, 2 figures</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2410.05736">arXiv:2410.05736</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2410.05736">pdf</a>, <a href="https://arxiv.org/ps/2410.05736">ps</a>, <a href="https://arxiv.org/format/2410.05736">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="High Energy Physics - Experiment">hep-ex</span> </div> </div> <p class="title is-5 mathjax"> Observation of an axial-vector state in the study of $蠄(3686) \to 蠁畏畏&#39;$ decay </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=BESIII+Collaboration"> BESIII Collaboration</a>, <a href="/search/?searchtype=author&amp;query=Ablikim%2C+M">M. Ablikim</a>, <a href="/search/?searchtype=author&amp;query=Achasov%2C+M+N">M. N. Achasov</a>, <a href="/search/?searchtype=author&amp;query=Adlarson%2C+P">P. Adlarson</a>, <a href="/search/?searchtype=author&amp;query=Afedulidis%2C+O">O. Afedulidis</a>, <a href="/search/?searchtype=author&amp;query=Ai%2C+X+C">X. C. Ai</a>, <a href="/search/?searchtype=author&amp;query=Aliberti%2C+R">R. Aliberti</a>, <a href="/search/?searchtype=author&amp;query=Amoroso%2C+A">A. Amoroso</a>, <a href="/search/?searchtype=author&amp;query=An%2C+Q">Q. An</a>, <a href="/search/?searchtype=author&amp;query=Bai%2C+Y">Y. Bai</a>, <a href="/search/?searchtype=author&amp;query=Bakina%2C+O">O. Bakina</a>, <a href="/search/?searchtype=author&amp;query=Balossino%2C+I">I. Balossino</a>, <a href="/search/?searchtype=author&amp;query=Ban%2C+Y">Y. Ban</a>, <a href="/search/?searchtype=author&amp;query=Bao%2C+H+-">H. -R. Bao</a>, <a href="/search/?searchtype=author&amp;query=Batozskaya%2C+V">V. Batozskaya</a>, <a href="/search/?searchtype=author&amp;query=Begzsuren%2C+K">K. Begzsuren</a>, <a href="/search/?searchtype=author&amp;query=Berger%2C+N">N. Berger</a>, <a href="/search/?searchtype=author&amp;query=Berlowski%2C+M">M. Berlowski</a>, <a href="/search/?searchtype=author&amp;query=Bertani%2C+M">M. Bertani</a>, <a href="/search/?searchtype=author&amp;query=Bettoni%2C+D">D. Bettoni</a>, <a href="/search/?searchtype=author&amp;query=Bianchi%2C+F">F. Bianchi</a>, <a href="/search/?searchtype=author&amp;query=Bianco%2C+E">E. Bianco</a>, <a href="/search/?searchtype=author&amp;query=Bortone%2C+A">A. Bortone</a>, <a href="/search/?searchtype=author&amp;query=Boyko%2C+I">I. Boyko</a>, <a href="/search/?searchtype=author&amp;query=Briere%2C+R+A">R. A. Briere</a> , et al. (625 additional authors not shown) </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2410.05736v1-abstract-short" style="display: inline;"> Using (2712.4 $\pm$ 14.3)$\times 10^{6}$ $蠄(3686)$ events collected with the BESIII detector at BEPCII, a partial wave analysis of the decay $蠄(3686) \to 蠁畏畏&#39; $ is performed with the covariant tensor approach. An axial-vector state with a mass near 2.3 $\rm GeV/c^2$ is observed for the first time. Its mass and width are measured to be 2316&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2410.05736v1-abstract-full').style.display = 'inline'; document.getElementById('2410.05736v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2410.05736v1-abstract-full" style="display: none;"> Using (2712.4 $\pm$ 14.3)$\times 10^{6}$ $蠄(3686)$ events collected with the BESIII detector at BEPCII, a partial wave analysis of the decay $蠄(3686) \to 蠁畏畏&#39; $ is performed with the covariant tensor approach. An axial-vector state with a mass near 2.3 $\rm GeV/c^2$ is observed for the first time. Its mass and width are measured to be 2316 $\pm 9_{\mathrm{stat}} \pm 30_{\mathrm{syst}}\,\rm MeV/c^2$ and 89 $\pm 15_{\mathrm{stat}} \pm 26_{\mathrm{syst}}\,\rm MeV$, respectively. The product branching fractions of $\mathcal{B}(蠄(3686) \to X(2300) 畏&#39;) \mathcal{B}(X(2300)\to 蠁畏)$ and $\mathcal{B}(蠄(3686) \to X(2300) 畏)\mathcal{B}(X(2300)\to 蠁畏&#39;)$ are determined to be (4.8 $\pm 1.3_{\mathrm{stat}} \pm 0.7_{\mathrm{syst}})\times 10^{-6}$ and (2.2 $\pm 0.7_{\mathrm{stat}} \pm 0.7_{\mathrm{syst}})\times 10^{-6}$, respectively. The branching fraction $\mathcal{B}(蠄(3686) \to 蠁畏畏&#39;)$ is measured for the first time to be (3.14$\pm0.17_{\mathrm{stat}}\pm0.24_{\mathrm{syst}})\times10^{-5}$. The first uncertainties are statistical and the second are systematic. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2410.05736v1-abstract-full').style.display = 'none'; document.getElementById('2410.05736v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 8 October, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> October 2024. </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2410.05273">arXiv:2410.05273</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2410.05273">pdf</a>, <a href="https://arxiv.org/format/2410.05273">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Computer Vision and Pattern Recognition">cs.CV</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Artificial Intelligence">cs.AI</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Robotics">cs.RO</span> </div> </div> <p class="title is-5 mathjax"> HiRT: Enhancing Robotic Control with Hierarchical Robot Transformers </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Zhang%2C+J">Jianke Zhang</a>, <a href="/search/?searchtype=author&amp;query=Guo%2C+Y">Yanjiang Guo</a>, <a href="/search/?searchtype=author&amp;query=Chen%2C+X">Xiaoyu Chen</a>, <a href="/search/?searchtype=author&amp;query=Wang%2C+Y">Yen-Jen Wang</a>, <a href="/search/?searchtype=author&amp;query=Hu%2C+Y">Yucheng Hu</a>, <a href="/search/?searchtype=author&amp;query=Shi%2C+C">Chengming Shi</a>, <a href="/search/?searchtype=author&amp;query=Chen%2C+J">Jianyu Chen</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2410.05273v2-abstract-short" style="display: inline;"> Large Vision-Language-Action (VLA) models, leveraging powerful pre trained Vision-Language Models (VLMs) backends, have shown promise in robotic control due to their impressive generalization ability. However, the success comes at a cost. Their reliance on VLM backends with billions of parameters leads to high computational costs and inference latency, limiting the testing scenarios to mainly quas&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2410.05273v2-abstract-full').style.display = 'inline'; document.getElementById('2410.05273v2-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2410.05273v2-abstract-full" style="display: none;"> Large Vision-Language-Action (VLA) models, leveraging powerful pre trained Vision-Language Models (VLMs) backends, have shown promise in robotic control due to their impressive generalization ability. However, the success comes at a cost. Their reliance on VLM backends with billions of parameters leads to high computational costs and inference latency, limiting the testing scenarios to mainly quasi-static tasks and hindering performance in dynamic tasks requiring rapid interactions. To address these limitations, this paper proposes HiRT, a Hierarchical Robot Transformer framework that enables flexible frequency and performance trade-off. HiRT keeps VLMs running at low frequencies to capture temporarily invariant features while enabling real-time interaction through a high-frequency vision-based policy guided by the slowly updated features. Experiment results in both simulation and real-world settings demonstrate significant improvements over baseline methods. Empirically, in static tasks, we double the control frequency and achieve comparable success rates. Additionally, on novel real-world dynamic ma nipulation tasks which are challenging for previous VLA models, HiRT improves the success rate from 48% to 75%. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2410.05273v2-abstract-full').style.display = 'none'; document.getElementById('2410.05273v2-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 21 October, 2024; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 12 September, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> October 2024. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Journal ref:</span> CoRL2024 </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2410.04232">arXiv:2410.04232</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2410.04232">pdf</a>, <a href="https://arxiv.org/format/2410.04232">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Human-Computer Interaction">cs.HC</span> </div> </div> <p class="title is-5 mathjax"> Be There, Be Together, Be Streamed! AR Scenic Live-Streaming for an Interactive and Collective Experience </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Huang%2C+Z">Zeyu Huang</a>, <a href="/search/?searchtype=author&amp;query=Xu%2C+Z">Zuyu Xu</a>, <a href="/search/?searchtype=author&amp;query=Zhang%2C+Y">Yuanhao Zhang</a>, <a href="/search/?searchtype=author&amp;query=Liu%2C+C">Chengzhong Liu</a>, <a href="/search/?searchtype=author&amp;query=Zhao%2C+Y">Yanwei Zhao</a>, <a href="/search/?searchtype=author&amp;query=Shi%2C+C">Chuhan Shi</a>, <a href="/search/?searchtype=author&amp;query=Zhao%2C+J+C">Jason Chen Zhao</a>, <a href="/search/?searchtype=author&amp;query=Ma%2C+X">Xiaojuan Ma</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2410.04232v1-abstract-short" style="display: inline;"> Scenic Live-Streaming (SLS), capturing real-world scenic sites from fixed cameras without streamers, combines scene immersion and the social and real-time characteristics of live-streaming into a unique experience. However, existing SLS affords limited audience interactions to engage them in a collective experience compared to many other live-streaming genres. It is also difficult for SLS to recre&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2410.04232v1-abstract-full').style.display = 'inline'; document.getElementById('2410.04232v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2410.04232v1-abstract-full" style="display: none;"> Scenic Live-Streaming (SLS), capturing real-world scenic sites from fixed cameras without streamers, combines scene immersion and the social and real-time characteristics of live-streaming into a unique experience. However, existing SLS affords limited audience interactions to engage them in a collective experience compared to many other live-streaming genres. It is also difficult for SLS to recreate important but intangible constituents of in-person trip experiences, such as cultural activities. To offer a more interactive, engaging, and meaningful experience, we propose ARSLS (Augmented Reality Scenic Live-Streaming). Culturally grounded AR objects with awareness of the live-streamed environment can be overlaid over camera views to provide additional interactive features while maintaining consistency with the live-streamed scene. To explore the design space of this new medium, we developed an ARSLS prototype for a famous landscape in China. A preliminary study (N=15) provided initial insights for ARSLS design. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2410.04232v1-abstract-full').style.display = 'none'; document.getElementById('2410.04232v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 5 October, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> October 2024. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">4 pages, 2 figures, to appear in the adjunct proceedings of ISMAR 2024 and the ISMAR 2024 conference</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2410.02504">arXiv:2410.02504</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2410.02504">pdf</a>, <a href="https://arxiv.org/format/2410.02504">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Machine Learning">stat.ML</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Machine Learning">cs.LG</span> </div> </div> <p class="title is-5 mathjax"> Dual Active Learning for Reinforcement Learning from Human Feedback </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Liu%2C+P">Pangpang Liu</a>, <a href="/search/?searchtype=author&amp;query=Shi%2C+C">Chengchun Shi</a>, <a href="/search/?searchtype=author&amp;query=Sun%2C+W+W">Will Wei Sun</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2410.02504v1-abstract-short" style="display: inline;"> Aligning large language models (LLMs) with human preferences is critical to recent advances in generative artificial intelligence. Reinforcement learning from human feedback (RLHF) is widely applied to achieve this objective. A key step in RLHF is to learn the reward function from human feedback. However, human feedback is costly and time-consuming, making it essential to collect high-quality conv&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2410.02504v1-abstract-full').style.display = 'inline'; document.getElementById('2410.02504v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2410.02504v1-abstract-full" style="display: none;"> Aligning large language models (LLMs) with human preferences is critical to recent advances in generative artificial intelligence. Reinforcement learning from human feedback (RLHF) is widely applied to achieve this objective. A key step in RLHF is to learn the reward function from human feedback. However, human feedback is costly and time-consuming, making it essential to collect high-quality conversation data for human teachers to label. Additionally, different human teachers have different levels of expertise. It is thus critical to query the most appropriate teacher for their opinions. In this paper, we use offline reinforcement learning (RL) to formulate the alignment problem. Motivated by the idea of $D$-optimal design, we first propose a dual active reward learning algorithm for the simultaneous selection of conversations and teachers. Next, we apply pessimistic RL to solve the alignment problem, based on the learned reward estimator. Theoretically, we show that the reward estimator obtained through our proposed adaptive selection strategy achieves minimal generalized variance asymptotically, and prove that the sub-optimality of our pessimistic policy scales as $O(1/\sqrt{T})$ with a given sample budget $T$. Through simulations and experiments on LLMs, we demonstrate the effectiveness of our algorithm and its superiority over state-of-the-arts. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2410.02504v1-abstract-full').style.display = 'none'; document.getElementById('2410.02504v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 3 October, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> October 2024. </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2410.02421">arXiv:2410.02421</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2410.02421">pdf</a>, <a href="https://arxiv.org/format/2410.02421">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="High Energy Physics - Experiment">hep-ex</span> </div> </div> <p class="title is-5 mathjax"> Search for lepton number violating decays of $D_s^+\to h^-h^0e^+e^+$ </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=BESIII+Collaboration"> BESIII Collaboration</a>, <a href="/search/?searchtype=author&amp;query=Ablikim%2C+M">M. Ablikim</a>, <a href="/search/?searchtype=author&amp;query=Achasov%2C+M+N">M. N. Achasov</a>, <a href="/search/?searchtype=author&amp;query=Adlarson%2C+P">P. Adlarson</a>, <a href="/search/?searchtype=author&amp;query=Afedulidis%2C+O">O. Afedulidis</a>, <a href="/search/?searchtype=author&amp;query=Ai%2C+X+C">X. C. Ai</a>, <a href="/search/?searchtype=author&amp;query=Aliberti%2C+R">R. Aliberti</a>, <a href="/search/?searchtype=author&amp;query=Amoroso%2C+A">A. Amoroso</a>, <a href="/search/?searchtype=author&amp;query=An%2C+Q">Q. An</a>, <a href="/search/?searchtype=author&amp;query=Bai%2C+Y">Y. Bai</a>, <a href="/search/?searchtype=author&amp;query=Bakina%2C+O">O. Bakina</a>, <a href="/search/?searchtype=author&amp;query=Balossino%2C+I">I. Balossino</a>, <a href="/search/?searchtype=author&amp;query=Ban%2C+Y">Y. Ban</a>, <a href="/search/?searchtype=author&amp;query=Bao%2C+H+-">H. -R. Bao</a>, <a href="/search/?searchtype=author&amp;query=Batozskaya%2C+V">V. Batozskaya</a>, <a href="/search/?searchtype=author&amp;query=Begzsuren%2C+K">K. Begzsuren</a>, <a href="/search/?searchtype=author&amp;query=Berger%2C+N">N. Berger</a>, <a href="/search/?searchtype=author&amp;query=Berlowski%2C+M">M. Berlowski</a>, <a href="/search/?searchtype=author&amp;query=Bertani%2C+M">M. Bertani</a>, <a href="/search/?searchtype=author&amp;query=Bettoni%2C+D">D. Bettoni</a>, <a href="/search/?searchtype=author&amp;query=Bianchi%2C+F">F. Bianchi</a>, <a href="/search/?searchtype=author&amp;query=Bianco%2C+E">E. Bianco</a>, <a href="/search/?searchtype=author&amp;query=Bortone%2C+A">A. Bortone</a>, <a href="/search/?searchtype=author&amp;query=Boyko%2C+I">I. Boyko</a>, <a href="/search/?searchtype=author&amp;query=Briere%2C+R+A">R. A. Briere</a> , et al. (650 additional authors not shown) </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2410.02421v2-abstract-short" style="display: inline;"> Based on 7.33 fb$^{-1}$ of $e^+e^-$ collision data collected by the BESIII detector operating at the BEPCII collider at center-of-mass energies from 4.128 to 4.226 GeV, a search for the Majorana neutrino $谓_m$ is conducted in the lepton-number-violating decays of $D_s^+\to h^-h^0e^+e^+$. Here, $h^-$ represents a $K^-$ or $蟺^-$, and $h^0$ represents a $蟺^0$, $K_S^0$ or $蠁$. No significant signal is&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2410.02421v2-abstract-full').style.display = 'inline'; document.getElementById('2410.02421v2-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2410.02421v2-abstract-full" style="display: none;"> Based on 7.33 fb$^{-1}$ of $e^+e^-$ collision data collected by the BESIII detector operating at the BEPCII collider at center-of-mass energies from 4.128 to 4.226 GeV, a search for the Majorana neutrino $谓_m$ is conducted in the lepton-number-violating decays of $D_s^+\to h^-h^0e^+e^+$. Here, $h^-$ represents a $K^-$ or $蟺^-$, and $h^0$ represents a $蟺^0$, $K_S^0$ or $蠁$. No significant signal is observed, and the upper limits of their branching fractions at the 90\% confidence level are determined to be $\mathcal{B}(D_s^+\to 蠁蟺^-e^+e^+) &lt; 6.9 \times 10^{-5}$, $\mathcal{B}(D_s^+\to 蠁K^-e^+e^+) &lt; 9.9 \times 10^{-5}$, $\mathcal{B}(D_s^+\to K_S^0蟺^-e^+e^+) &lt; 1.3 \times 10^{-5}$, $\mathcal{B}(D_s^+\to K_S^0K^-e^+e^+) &lt; 2.9 \times 10^{-5}$, $\mathcal{B}(D_s^+\to 蟺^-蟺^0e^+e^+) &lt; 2.9 \times 10^{-5}$ and $\mathcal{B}(D_s^+\to K^-蟺^0e^+e^+) &lt; 3.4 \times 10^{-5}$. The Majorana neutrino is searched for with different mass assumptions within the range [0.20, 0.80] GeV$/c^2$ in the decay of $D_s^+\to蠁e^+谓_m$ with $谓_m\to蟺^-e^+$, and the upper limits of the branching fractions at the 90\% confidence level are at the level of $10^{-5}-10^{-2}$, depending on the mass of the Majorana neutrino. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2410.02421v2-abstract-full').style.display = 'none'; document.getElementById('2410.02421v2-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 20 November, 2024; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 3 October, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> October 2024. </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2409.19667">arXiv:2409.19667</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2409.19667">pdf</a>, <a href="https://arxiv.org/format/2409.19667">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Computation and Language">cs.CL</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Artificial Intelligence">cs.AI</span> </div> </div> <p class="title is-5 mathjax"> Can Large Language Models Analyze Graphs like Professionals? A Benchmark, Datasets and Models </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Li%2C+X">Xin Li</a>, <a href="/search/?searchtype=author&amp;query=Chen%2C+W">Weize Chen</a>, <a href="/search/?searchtype=author&amp;query=Chu%2C+Q">Qizhi Chu</a>, <a href="/search/?searchtype=author&amp;query=Li%2C+H">Haopeng Li</a>, <a href="/search/?searchtype=author&amp;query=Sun%2C+Z">Zhaojun Sun</a>, <a href="/search/?searchtype=author&amp;query=Li%2C+R">Ran Li</a>, <a href="/search/?searchtype=author&amp;query=Qian%2C+C">Chen Qian</a>, <a href="/search/?searchtype=author&amp;query=Wei%2C+Y">Yiwei Wei</a>, <a href="/search/?searchtype=author&amp;query=Liu%2C+Z">Zhiyuan Liu</a>, <a href="/search/?searchtype=author&amp;query=Shi%2C+C">Chuan Shi</a>, <a href="/search/?searchtype=author&amp;query=Sun%2C+M">Maosong Sun</a>, <a href="/search/?searchtype=author&amp;query=Yang%2C+C">Cheng Yang</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2409.19667v2-abstract-short" style="display: inline;"> The need to analyze graphs is ubiquitous across various fields, from social networks to biological research and recommendation systems. Therefore, enabling the ability of large language models (LLMs) to process graphs is an important step toward more advanced general intelligence. However, current LLM benchmarks on graph analysis require models to directly reason over the prompts describing graph&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2409.19667v2-abstract-full').style.display = 'inline'; document.getElementById('2409.19667v2-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2409.19667v2-abstract-full" style="display: none;"> The need to analyze graphs is ubiquitous across various fields, from social networks to biological research and recommendation systems. Therefore, enabling the ability of large language models (LLMs) to process graphs is an important step toward more advanced general intelligence. However, current LLM benchmarks on graph analysis require models to directly reason over the prompts describing graph topology, and are thus limited to small graphs with only a few dozens of nodes. In contrast, human experts typically write programs based on popular libraries for task solving, and can thus handle graphs with different scales. To this end, a question naturally arises: can LLMs analyze graphs like professionals? In this paper, we introduce ProGraph, a manually crafted benchmark containing 3 categories of graph tasks. The benchmark expects solutions based on programming instead of directly reasoning over raw inputs. Our findings reveal that the performance of current LLMs is unsatisfactory, with the best model achieving only 36% accuracy. To bridge this gap, we propose LLM4Graph datasets, which include crawled documents and auto-generated codes based on 6 widely used graph libraries. By augmenting closed-source LLMs with document retrieval and fine-tuning open-source ones on the codes, we show 11-32% absolute improvements in their accuracies. Our results underscore that the capabilities of LLMs in handling structured data are still under-explored, and show the effectiveness of LLM4Graph in enhancing LLMs&#39; proficiency of graph analysis. The benchmark, datasets and enhanced open-source models are available at https://github.com/BUPT-GAMMA/ProGraph. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2409.19667v2-abstract-full').style.display = 'none'; document.getElementById('2409.19667v2-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 19 October, 2024; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 29 September, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> September 2024. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">NeurIPS 2024</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2409.18786">arXiv:2409.18786</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2409.18786">pdf</a>, <a href="https://arxiv.org/format/2409.18786">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Computation and Language">cs.CL</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Artificial Intelligence">cs.AI</span> </div> </div> <p class="title is-5 mathjax"> A Survey on the Honesty of Large Language Models </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Li%2C+S">Siheng Li</a>, <a href="/search/?searchtype=author&amp;query=Yang%2C+C">Cheng Yang</a>, <a href="/search/?searchtype=author&amp;query=Wu%2C+T">Taiqiang Wu</a>, <a href="/search/?searchtype=author&amp;query=Shi%2C+C">Chufan Shi</a>, <a href="/search/?searchtype=author&amp;query=Zhang%2C+Y">Yuji Zhang</a>, <a href="/search/?searchtype=author&amp;query=Zhu%2C+X">Xinyu Zhu</a>, <a href="/search/?searchtype=author&amp;query=Cheng%2C+Z">Zesen Cheng</a>, <a href="/search/?searchtype=author&amp;query=Cai%2C+D">Deng Cai</a>, <a href="/search/?searchtype=author&amp;query=Yu%2C+M">Mo Yu</a>, <a href="/search/?searchtype=author&amp;query=Liu%2C+L">Lemao Liu</a>, <a href="/search/?searchtype=author&amp;query=Zhou%2C+J">Jie Zhou</a>, <a href="/search/?searchtype=author&amp;query=Yang%2C+Y">Yujiu Yang</a>, <a href="/search/?searchtype=author&amp;query=Wong%2C+N">Ngai Wong</a>, <a href="/search/?searchtype=author&amp;query=Wu%2C+X">Xixin Wu</a>, <a href="/search/?searchtype=author&amp;query=Lam%2C+W">Wai Lam</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2409.18786v1-abstract-short" style="display: inline;"> Honesty is a fundamental principle for aligning large language models (LLMs) with human values, requiring these models to recognize what they know and don&#39;t know and be able to faithfully express their knowledge. Despite promising, current LLMs still exhibit significant dishonest behaviors, such as confidently presenting wrong answers or failing to express what they know. In addition, research on&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2409.18786v1-abstract-full').style.display = 'inline'; document.getElementById('2409.18786v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2409.18786v1-abstract-full" style="display: none;"> Honesty is a fundamental principle for aligning large language models (LLMs) with human values, requiring these models to recognize what they know and don&#39;t know and be able to faithfully express their knowledge. Despite promising, current LLMs still exhibit significant dishonest behaviors, such as confidently presenting wrong answers or failing to express what they know. In addition, research on the honesty of LLMs also faces challenges, including varying definitions of honesty, difficulties in distinguishing between known and unknown knowledge, and a lack of comprehensive understanding of related research. To address these issues, we provide a survey on the honesty of LLMs, covering its clarification, evaluation approaches, and strategies for improvement. Moreover, we offer insights for future research, aiming to inspire further exploration in this important area. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2409.18786v1-abstract-full').style.display = 'none'; document.getElementById('2409.18786v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 27 September, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> September 2024. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">Project Page: https://github.com/SihengLi99/LLM-Honesty-Survey</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2409.17608">arXiv:2409.17608</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2409.17608">pdf</a>, <a href="https://arxiv.org/format/2409.17608">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Computer Vision and Pattern Recognition">cs.CV</span> </div> </div> <p class="title is-5 mathjax"> Appearance Blur-driven AutoEncoder and Motion-guided Memory Module for Video Anomaly Detection </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Lyu%2C+J">Jiahao Lyu</a>, <a href="/search/?searchtype=author&amp;query=Zhao%2C+M">Minghua Zhao</a>, <a href="/search/?searchtype=author&amp;query=Hu%2C+J">Jing Hu</a>, <a href="/search/?searchtype=author&amp;query=Huang%2C+X">Xuewen Huang</a>, <a href="/search/?searchtype=author&amp;query=Du%2C+S">Shuangli Du</a>, <a href="/search/?searchtype=author&amp;query=Shi%2C+C">Cheng Shi</a>, <a href="/search/?searchtype=author&amp;query=Lv%2C+Z">Zhiyong Lv</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2409.17608v1-abstract-short" style="display: inline;"> Video anomaly detection (VAD) often learns the distribution of normal samples and detects the anomaly through measuring significant deviations, but the undesired generalization may reconstruct a few anomalies thus suppressing the deviations. Meanwhile, most VADs cannot cope with cross-dataset validation for new target domains, and few-shot methods must laboriously rely on model-tuning from the tar&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2409.17608v1-abstract-full').style.display = 'inline'; document.getElementById('2409.17608v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2409.17608v1-abstract-full" style="display: none;"> Video anomaly detection (VAD) often learns the distribution of normal samples and detects the anomaly through measuring significant deviations, but the undesired generalization may reconstruct a few anomalies thus suppressing the deviations. Meanwhile, most VADs cannot cope with cross-dataset validation for new target domains, and few-shot methods must laboriously rely on model-tuning from the target domain to complete domain adaptation. To address these problems, we propose a novel VAD method with a motion-guided memory module to achieve cross-dataset validation with zero-shot. First, we add Gaussian blur to the raw appearance images, thereby constructing the global pseudo-anomaly, which serves as the input to the network. Then, we propose multi-scale residual channel attention to deblur the pseudo-anomaly in normal samples. Next, memory items are obtained by recording the motion features in the training phase, which are used to retrieve the motion features from the raw information in the testing phase. Lastly, our method can ignore the blurred real anomaly through attention and rely on motion memory items to increase the normality gap between normal and abnormal motion. Extensive experiments on three benchmark datasets demonstrate the effectiveness of the proposed method. Compared with cross-domain methods, our method achieves competitive performance without adaptation during testing. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2409.17608v1-abstract-full').style.display = 'none'; document.getElementById('2409.17608v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 26 September, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> September 2024. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">13 pages, 11 figures</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2409.16439">arXiv:2409.16439</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2409.16439">pdf</a>, <a href="https://arxiv.org/format/2409.16439">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Systems and Control">eess.SY</span> </div> </div> <p class="title is-5 mathjax"> Active Perception with Initial-State Uncertainty: A Policy Gradient Method </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Shi%2C+C">Chongyang Shi</a>, <a href="/search/?searchtype=author&amp;query=Han%2C+S">Shuo Han</a>, <a href="/search/?searchtype=author&amp;query=Dorothy%2C+M">Michael Dorothy</a>, <a href="/search/?searchtype=author&amp;query=Fu%2C+J">Jie Fu</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2409.16439v1-abstract-short" style="display: inline;"> This paper studies the synthesis of an active perception policy that maximizes the information leakage of the initial state in a stochastic system modeled as a hidden Markov model (HMM). Specifically, the emission function of the HMM is controllable with a set of perception or sensor query actions. Given the goal is to infer the initial state from partial observations in the HMM, we use Shannon co&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2409.16439v1-abstract-full').style.display = 'inline'; document.getElementById('2409.16439v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2409.16439v1-abstract-full" style="display: none;"> This paper studies the synthesis of an active perception policy that maximizes the information leakage of the initial state in a stochastic system modeled as a hidden Markov model (HMM). Specifically, the emission function of the HMM is controllable with a set of perception or sensor query actions. Given the goal is to infer the initial state from partial observations in the HMM, we use Shannon conditional entropy as the planning objective and develop a novel policy gradient method with convergence guarantees. By leveraging a variant of observable operators in HMMs, we prove several important properties of the gradient of the conditional entropy with respect to the policy parameters, which allow efficient computation of the policy gradient and stable and fast convergence. We demonstrate the effectiveness of our solution by applying it to an inference problem in a stochastic grid world environment. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2409.16439v1-abstract-full').style.display = 'none'; document.getElementById('2409.16439v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 24 September, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> September 2024. </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2409.15044">arXiv:2409.15044</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2409.15044">pdf</a>, <a href="https://arxiv.org/ps/2409.15044">ps</a>, <a href="https://arxiv.org/format/2409.15044">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="High Energy Physics - Experiment">hep-ex</span> </div> </div> <p class="title is-5 mathjax"> Search for $D^0\to K^-畏e^+谓_e$, $D^+\to K_S^0 畏e^+谓_e$ and $D^+\to 畏畏e^+谓_e$ decays </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=BESIII+Collaboration"> BESIII Collaboration</a>, <a href="/search/?searchtype=author&amp;query=Ablikim%2C+M">M. Ablikim</a>, <a href="/search/?searchtype=author&amp;query=Achasov%2C+M+N">M. N. Achasov</a>, <a href="/search/?searchtype=author&amp;query=Adlarson%2C+P">P. Adlarson</a>, <a href="/search/?searchtype=author&amp;query=Afedulidis%2C+O">O. Afedulidis</a>, <a href="/search/?searchtype=author&amp;query=Ai%2C+X+C">X. C. Ai</a>, <a href="/search/?searchtype=author&amp;query=Aliberti%2C+R">R. Aliberti</a>, <a href="/search/?searchtype=author&amp;query=Amoroso%2C+A">A. Amoroso</a>, <a href="/search/?searchtype=author&amp;query=An%2C+Q">Q. An</a>, <a href="/search/?searchtype=author&amp;query=Bai%2C+Y">Y. Bai</a>, <a href="/search/?searchtype=author&amp;query=Bakina%2C+O">O. Bakina</a>, <a href="/search/?searchtype=author&amp;query=Balossino%2C+I">I. Balossino</a>, <a href="/search/?searchtype=author&amp;query=Ban%2C+Y">Y. Ban</a>, <a href="/search/?searchtype=author&amp;query=Bao%2C+H+-">H. -R. Bao</a>, <a href="/search/?searchtype=author&amp;query=Batozskaya%2C+V">V. Batozskaya</a>, <a href="/search/?searchtype=author&amp;query=Begzsuren%2C+K">K. Begzsuren</a>, <a href="/search/?searchtype=author&amp;query=Berger%2C+N">N. Berger</a>, <a href="/search/?searchtype=author&amp;query=Berlowski%2C+M">M. Berlowski</a>, <a href="/search/?searchtype=author&amp;query=Bertani%2C+M">M. Bertani</a>, <a href="/search/?searchtype=author&amp;query=Bettoni%2C+D">D. Bettoni</a>, <a href="/search/?searchtype=author&amp;query=Bianchi%2C+F">F. Bianchi</a>, <a href="/search/?searchtype=author&amp;query=Bianco%2C+E">E. Bianco</a>, <a href="/search/?searchtype=author&amp;query=Bortone%2C+A">A. Bortone</a>, <a href="/search/?searchtype=author&amp;query=Boyko%2C+I">I. Boyko</a>, <a href="/search/?searchtype=author&amp;query=Briere%2C+R+A">R. A. Briere</a> , et al. (634 additional authors not shown) </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2409.15044v3-abstract-short" style="display: inline;"> By analyzing $e^+e^-$ annihilation data corresponding to an integrated luminosity of 7.93 fb$^{-1}$, collected at the center-of-mass energy of 3.773 GeV with the BESIII detector, we search for the semileptonic decays $D^0\to K^-畏e^+谓_e$, $D^+\to K_S^0 畏e^+谓_e$ and $D^+\to 畏畏e^+谓_e$ for the first time. We present evidence for $D^0\to K^-畏e^+谓_e$ with a significance of $3.3蟽$. The branching fraction&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2409.15044v3-abstract-full').style.display = 'inline'; document.getElementById('2409.15044v3-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2409.15044v3-abstract-full" style="display: none;"> By analyzing $e^+e^-$ annihilation data corresponding to an integrated luminosity of 7.93 fb$^{-1}$, collected at the center-of-mass energy of 3.773 GeV with the BESIII detector, we search for the semileptonic decays $D^0\to K^-畏e^+谓_e$, $D^+\to K_S^0 畏e^+谓_e$ and $D^+\to 畏畏e^+谓_e$ for the first time. We present evidence for $D^0\to K^-畏e^+谓_e$ with a significance of $3.3蟽$. The branching fraction of $D^0\to K^-畏e^+谓_e$ is measured to be $(0.84_{-0.34}^{+0.29}\pm0.22)\times 10^{-4}$. Here, the first uncertainties are statistical and the second ones are systematic. No significant signals are observed for the decays $D^+\to K_S^0 畏e^+谓_e$ and $D^+\to 畏畏e^+谓_e$ and we set the upper limits on their branching fractions. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2409.15044v3-abstract-full').style.display = 'none'; document.getElementById('2409.15044v3-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 24 September, 2024; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 23 September, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> September 2024. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">10 pages,4 figures</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2409.14410">arXiv:2409.14410</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2409.14410">pdf</a>, <a href="https://arxiv.org/format/2409.14410">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="High Energy Physics - Lattice">hep-lat</span> </div> </div> <p class="title is-5 mathjax"> Decay properties of light $1^{-+}$ hybrids from $N_f=2$ lattice QCD </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Liang%2C+J">Juzheng Liang</a>, <a href="/search/?searchtype=author&amp;query=Chen%2C+S">Siyang Chen</a>, <a href="/search/?searchtype=author&amp;query=Chen%2C+Y">Ying Chen</a>, <a href="/search/?searchtype=author&amp;query=Shi%2C+C">Chunjiang Shi</a>, <a href="/search/?searchtype=author&amp;query=Sun%2C+W">Wei Sun</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2409.14410v1-abstract-short" style="display: inline;"> We explore the decay properties of the isovector and isoscalar $1^{-+}$ light hybrids, $蟺_1$ and $畏_1$, in $N_f=2$ lattice QCD at a pion mass $m_蟺\approx 417~\mathrm{MeV}$. The McNeile and Michael method is adopted to extract the effective couplings for individual decay modes, which are used to estimate the partial decay widths of $蟺_1(1600)$ and $畏_1(1855)$ by assuming SU(3) symmetry. The partial&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2409.14410v1-abstract-full').style.display = 'inline'; document.getElementById('2409.14410v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2409.14410v1-abstract-full" style="display: none;"> We explore the decay properties of the isovector and isoscalar $1^{-+}$ light hybrids, $蟺_1$ and $畏_1$, in $N_f=2$ lattice QCD at a pion mass $m_蟺\approx 417~\mathrm{MeV}$. The McNeile and Michael method is adopted to extract the effective couplings for individual decay modes, which are used to estimate the partial decay widths of $蟺_1(1600)$ and $畏_1(1855)$ by assuming SU(3) symmetry. The partial decay widths of $蟺_1(1600)$ are predicted to be $(螕_{b_1蟺}, 螕_{f_1(1285)蟺}, 螕_{蟻蟺}, 螕_{K^*\bar{K}}) = (323 \pm 72, \mathcal{O}(10), 48 \pm 7, 7.9 \pm 1.3)~\mathrm{MeV}$, and the total width is estimated to be $390 \pm 88~\mathrm{MeV}$, considering only statistical errors. If $畏_1(1855)$ and the $4.4蟽$ signal observed by BESIII (labeled as $畏_1(2200)$) are taken as the two mass eigenstates of the isoscalar $1^{-+}$ light hybrids in SU(3), then the dominant decay channel(s) of $畏_1(1855)$ ($畏_1(2200)$) is $K_1(1270)\bar{K}$ ($K_1(1270)\bar{K}$ and $K_1(1400)\bar{K}$) through the $1^{+(-)}0^{-(+)}$ mode. The vector-vector decay modes are also significant for the two $畏_1$ states. Using the mixing angle $伪\approx 22.7^\circ$ obtained from lattice QCD for the two $畏_1$ states, the total widths are estimated to be $螕_{畏_1(1855)}=268(91)~\mathrm{MeV}$ and $螕_{畏_1(2200)}=435(154)~\mathrm{MeV}$. The former is compatible with the experimental width of $畏_1(1855)$. Although many systematic uncertainties are not well controlled, these results are qualitatively informative for the experimental search for light hybrids. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2409.14410v1-abstract-full').style.display = 'none'; document.getElementById('2409.14410v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 22 September, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> September 2024. </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2409.14106">arXiv:2409.14106</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2409.14106">pdf</a>, <a href="https://arxiv.org/format/2409.14106">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Artificial Intelligence">cs.AI</span> </div> </div> <p class="title is-5 mathjax"> FineMolTex: Towards Fine-grained Molecular Graph-Text Pre-training </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Li%2C+Y">Yibo Li</a>, <a href="/search/?searchtype=author&amp;query=Fang%2C+Y">Yuan Fang</a>, <a href="/search/?searchtype=author&amp;query=Zhang%2C+M">Mengmei Zhang</a>, <a href="/search/?searchtype=author&amp;query=Shi%2C+C">Chuan Shi</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2409.14106v2-abstract-short" style="display: inline;"> Understanding molecular structure and related knowledge is crucial for scientific research. Recent studies integrate molecular graphs with their textual descriptions to enhance molecular representation learning. However, they focus on the whole molecular graph and neglect frequently occurring subgraphs, known as motifs,which are essential for determining molecular properties. Without such fine-gra&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2409.14106v2-abstract-full').style.display = 'inline'; document.getElementById('2409.14106v2-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2409.14106v2-abstract-full" style="display: none;"> Understanding molecular structure and related knowledge is crucial for scientific research. Recent studies integrate molecular graphs with their textual descriptions to enhance molecular representation learning. However, they focus on the whole molecular graph and neglect frequently occurring subgraphs, known as motifs,which are essential for determining molecular properties. Without such fine-grained knowledge, these models struggle to generalize to unseen molecules and tasks that require motif-level insights. To bridge this gap, we propose FineMolTex, a novel Fine-grained Molecular graph-Text pre-training framework to jointly learn coarse-grained molecule-level knowledge and fine-grained motif-level knowledge. Specifically, FineMolTex consists of two pre-training tasks: a contrastive alignment task for coarse-grained matching and a masked multi-modal modeling task for fine-grained matching. In particular, the latter predicts the labels of masked motifs and words, leveraging insights from each other, thereby enabling FineMolTex to understand the fine-grained matching between motifs and words. Finally, we conduct extensive experiments across three downstream tasks, achieving up to 230% improvement in the text-based molecule editing task. Additionally, our case studies reveal that FineMolTex successfully captures fine-grained knowledge, potentially offering valuable insights for drug discovery and catalyst design. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2409.14106v2-abstract-full').style.display = 'none'; document.getElementById('2409.14106v2-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 8 October, 2024; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 21 September, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> September 2024. </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2409.12080">arXiv:2409.12080</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2409.12080">pdf</a>, <a href="https://arxiv.org/format/2409.12080">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Biomolecules">q-bio.BM</span> </div> </div> <p class="title is-5 mathjax"> Design of Ligand-Binding Proteins with Atomic Flow Matching </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Liu%2C+J">Junqi Liu</a>, <a href="/search/?searchtype=author&amp;query=Li%2C+S">Shaoning Li</a>, <a href="/search/?searchtype=author&amp;query=Shi%2C+C">Chence Shi</a>, <a href="/search/?searchtype=author&amp;query=Yang%2C+Z">Zhi Yang</a>, <a href="/search/?searchtype=author&amp;query=Tang%2C+J">Jian Tang</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2409.12080v1-abstract-short" style="display: inline;"> Designing novel proteins that bind to small molecules is a long-standing challenge in computational biology, with applications in developing catalysts, biosensors, and more. Current computational methods rely on the assumption that the binding pose of the target molecule is known, which is not always feasible, as conformations of novel targets are often unknown and tend to change upon binding. In&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2409.12080v1-abstract-full').style.display = 'inline'; document.getElementById('2409.12080v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2409.12080v1-abstract-full" style="display: none;"> Designing novel proteins that bind to small molecules is a long-standing challenge in computational biology, with applications in developing catalysts, biosensors, and more. Current computational methods rely on the assumption that the binding pose of the target molecule is known, which is not always feasible, as conformations of novel targets are often unknown and tend to change upon binding. In this work, we formulate proteins and molecules as unified biotokens, and present AtomFlow, a novel deep generative model under the flow-matching framework for the design of ligand-binding proteins from the 2D target molecular graph alone. Operating on representative atoms of biotokens, AtomFlow captures the flexibility of ligands and generates ligand conformations and protein backbone structures iteratively. We consider the multi-scale nature of biotokens and demonstrate that AtomFlow can be effectively trained on a subset of structures from the Protein Data Bank, by matching flow vector field using an SE(3) equivariant structure prediction network. Experimental results show that our method can generate high fidelity ligand-binding proteins and achieve performance comparable to the state-of-the-art model RFDiffusionAA, while not requiring bound ligand structures. As a general framework, AtomFlow holds the potential to be applied to various biomolecule generation tasks in the future. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2409.12080v1-abstract-full').style.display = 'none'; document.getElementById('2409.12080v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 18 September, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> September 2024. </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2409.12046">arXiv:2409.12046</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2409.12046">pdf</a>, <a href="https://arxiv.org/format/2409.12046">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Computation and Language">cs.CL</span> </div> </div> <p class="title is-5 mathjax"> Using Large Language Models to Generate Clinical Trial Tables and Figures </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Yang%2C+Y">Yumeng Yang</a>, <a href="/search/?searchtype=author&amp;query=Krusche%2C+P">Peter Krusche</a>, <a href="/search/?searchtype=author&amp;query=Pantoja%2C+K">Kristyn Pantoja</a>, <a href="/search/?searchtype=author&amp;query=Shi%2C+C">Cheng Shi</a>, <a href="/search/?searchtype=author&amp;query=Ludmir%2C+E">Ethan Ludmir</a>, <a href="/search/?searchtype=author&amp;query=Roberts%2C+K">Kirk Roberts</a>, <a href="/search/?searchtype=author&amp;query=Zhu%2C+G">Gen Zhu</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2409.12046v2-abstract-short" style="display: inline;"> Tables, figures, and listings (TFLs) are essential tools for summarizing clinical trial data. Creation of TFLs for reporting activities is often a time-consuming task encountered routinely during the execution of clinical trials. This study explored the use of large language models (LLMs) to automate the generation of TFLs through prompt engineering and few-shot transfer learning. Using public cli&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2409.12046v2-abstract-full').style.display = 'inline'; document.getElementById('2409.12046v2-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2409.12046v2-abstract-full" style="display: none;"> Tables, figures, and listings (TFLs) are essential tools for summarizing clinical trial data. Creation of TFLs for reporting activities is often a time-consuming task encountered routinely during the execution of clinical trials. This study explored the use of large language models (LLMs) to automate the generation of TFLs through prompt engineering and few-shot transfer learning. Using public clinical trial data in ADaM format, our results demonstrated that LLMs can efficiently generate TFLs with prompt instructions, showcasing their potential in this domain. Furthermore, we developed a conservational agent named Clinical Trial TFL Generation Agent: An app that matches user queries to predefined prompts that produce customized programs to generate specific predefined TFLs. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2409.12046v2-abstract-full').style.display = 'none'; document.getElementById('2409.12046v2-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 18 September, 2024; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 18 September, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> September 2024. </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2409.09297">arXiv:2409.09297</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2409.09297">pdf</a>, <a href="https://arxiv.org/format/2409.09297">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Statistics Theory">math.ST</span> </div> </div> <p class="title is-5 mathjax"> Bounding the probability of causality under ordinal outcomes </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Sun%2C+H">Hanmei Sun</a>, <a href="/search/?searchtype=author&amp;query=Shi%2C+C">Chengfeng Shi</a>, <a href="/search/?searchtype=author&amp;query=Zhao%2C+Q">Qiang Zhao</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2409.09297v1-abstract-short" style="display: inline;"> The probability of causation (PC) is often used in liability assessments. In a legal context, for example, where a patient suffered the side effect after taking a medication and sued the pharmaceutical company as a result, the value of the PC can help assess the likelihood that the side effect was caused by the medication, in other words, how likely it is that the patient will win the case. Beyond&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2409.09297v1-abstract-full').style.display = 'inline'; document.getElementById('2409.09297v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2409.09297v1-abstract-full" style="display: none;"> The probability of causation (PC) is often used in liability assessments. In a legal context, for example, where a patient suffered the side effect after taking a medication and sued the pharmaceutical company as a result, the value of the PC can help assess the likelihood that the side effect was caused by the medication, in other words, how likely it is that the patient will win the case. Beyond the issue of legal disputes, the PC plays an equally large role when one wants to go about explaining causal relationships between events that have already occurred in other areas. This article begins by reviewing the definitions and bounds of the probability of causality for binary outcomes, then generalizes them to ordinal outcomes. It demonstrates that incorporating additional mediator variable information in a complete mediation analysis provides a more refined bound compared to the simpler scenario where only exposure and outcome variables are considered. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2409.09297v1-abstract-full').style.display = 'none'; document.getElementById('2409.09297v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 14 September, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> September 2024. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">17 pges, 3 figures</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2409.07197">arXiv:2409.07197</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2409.07197">pdf</a>, <a href="https://arxiv.org/format/2409.07197">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="High Energy Physics - Experiment">hep-ex</span> </div> </div> <p class="title is-5 mathjax"> Measurements of the $CP$-even fractions of $D^0\to蟺^{+}蟺^{-}蟺^{0}$ and $D^0\to K^{+}K^{-}蟺^{0}$ at BESIII </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=BESIII+Collaboration"> BESIII Collaboration</a>, <a href="/search/?searchtype=author&amp;query=Ablikim%2C+M">M. Ablikim</a>, <a href="/search/?searchtype=author&amp;query=Achasov%2C+M+N">M. N. Achasov</a>, <a href="/search/?searchtype=author&amp;query=Adlarson%2C+P">P. Adlarson</a>, <a href="/search/?searchtype=author&amp;query=Afedulidis%2C+O">O. Afedulidis</a>, <a href="/search/?searchtype=author&amp;query=Ai%2C+X+C">X. C. Ai</a>, <a href="/search/?searchtype=author&amp;query=Aliberti%2C+R">R. Aliberti</a>, <a href="/search/?searchtype=author&amp;query=Amoroso%2C+A">A. Amoroso</a>, <a href="/search/?searchtype=author&amp;query=An%2C+Q">Q. An</a>, <a href="/search/?searchtype=author&amp;query=Bai%2C+Y">Y. Bai</a>, <a href="/search/?searchtype=author&amp;query=Bakina%2C+O">O. Bakina</a>, <a href="/search/?searchtype=author&amp;query=Balossino%2C+I">I. Balossino</a>, <a href="/search/?searchtype=author&amp;query=Ban%2C+Y">Y. Ban</a>, <a href="/search/?searchtype=author&amp;query=Bao%2C+H+-">H. -R. Bao</a>, <a href="/search/?searchtype=author&amp;query=Batozskaya%2C+V">V. Batozskaya</a>, <a href="/search/?searchtype=author&amp;query=Begzsuren%2C+K">K. Begzsuren</a>, <a href="/search/?searchtype=author&amp;query=Berger%2C+N">N. Berger</a>, <a href="/search/?searchtype=author&amp;query=Berlowski%2C+M">M. Berlowski</a>, <a href="/search/?searchtype=author&amp;query=Bertani%2C+M">M. Bertani</a>, <a href="/search/?searchtype=author&amp;query=Bettoni%2C+D">D. Bettoni</a>, <a href="/search/?searchtype=author&amp;query=Bianchi%2C+F">F. Bianchi</a>, <a href="/search/?searchtype=author&amp;query=Bianco%2C+E">E. Bianco</a>, <a href="/search/?searchtype=author&amp;query=Bortone%2C+A">A. Bortone</a>, <a href="/search/?searchtype=author&amp;query=Boyko%2C+I">I. Boyko</a>, <a href="/search/?searchtype=author&amp;query=Briere%2C+R+A">R. A. Briere</a> , et al. (648 additional authors not shown) </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2409.07197v1-abstract-short" style="display: inline;"> The $CP$-even fractions ($F_{+}$) of the decays $D^0\to蟺^{+}蟺^{-}蟺^{0}$ and $D^0\to K^{+}K^{-}蟺^{0}$ are measured with a quantum-correlated $蠄(3770)\to D\bar{D}$ data sample collected by the BESIII experiment corresponding to an integrated luminosity of 7.93 $\mathrm{fb}^{-1}$. The results are $F_{+}^{蟺^{+}蟺^{-}蟺^{0}}=0.9406\pm0.0036\pm0.0021$ and $F_{+}^{K^{+}K^{-}蟺^{0}}=0.631\pm0.014\pm0.011$, w&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2409.07197v1-abstract-full').style.display = 'inline'; document.getElementById('2409.07197v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2409.07197v1-abstract-full" style="display: none;"> The $CP$-even fractions ($F_{+}$) of the decays $D^0\to蟺^{+}蟺^{-}蟺^{0}$ and $D^0\to K^{+}K^{-}蟺^{0}$ are measured with a quantum-correlated $蠄(3770)\to D\bar{D}$ data sample collected by the BESIII experiment corresponding to an integrated luminosity of 7.93 $\mathrm{fb}^{-1}$. The results are $F_{+}^{蟺^{+}蟺^{-}蟺^{0}}=0.9406\pm0.0036\pm0.0021$ and $F_{+}^{K^{+}K^{-}蟺^{0}}=0.631\pm0.014\pm0.011$, where the first uncertainties are statistical and the second systematic. These measurements are consistent with the previous determinations, and the uncertainties for $F_{+}^{蟺^{+}蟺^{-}蟺^{0}}$ and $F_{+}^{K^{+}K^{-}蟺^{0}}$ are reduced by factors of 3.9 and 2.6, respectively. The reported results provide important inputs for the precise measurement of the angle $纬$ of the Cabibbo-Kobayashi-Maskawa matrix and indirect $CP$ violation in charm mixing. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2409.07197v1-abstract-full').style.display = 'none'; document.getElementById('2409.07197v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 11 September, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> September 2024. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">19 pages, 8 figures</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2409.05098">arXiv:2409.05098</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2409.05098">pdf</a>, <a href="https://arxiv.org/format/2409.05098">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="High Energy Physics - Phenomenology">hep-ph</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Nuclear Theory">nucl-th</span> </div> </div> <p class="title is-5 mathjax"> Heavy flavor-asymmetric pseudoscalar mesons on the light front </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Shi%2C+C">Chao Shi</a>, <a href="/search/?searchtype=author&amp;query=Liu%2C+P">Pengfei Liu</a>, <a href="/search/?searchtype=author&amp;query=Du%2C+Y">Yi-Lun Du</a>, <a href="/search/?searchtype=author&amp;query=Jia%2C+W">Wenbao Jia</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2409.05098v1-abstract-short" style="display: inline;"> We extract the leading Fock-state light front wave functions (LF-LFWFs) of heavy flavor-asymmetric pseudoscalar mesons $D$, $B$ and $B_c$ from their Bethe-Salpeter wave functions based on Dyson-Schwinger equations approach, and study their leading twist parton distribution amplitudes, generalized parton distribution functions and transverse momentum dependent parton distributions. The spatial dist&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2409.05098v1-abstract-full').style.display = 'inline'; document.getElementById('2409.05098v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2409.05098v1-abstract-full" style="display: none;"> We extract the leading Fock-state light front wave functions (LF-LFWFs) of heavy flavor-asymmetric pseudoscalar mesons $D$, $B$ and $B_c$ from their Bethe-Salpeter wave functions based on Dyson-Schwinger equations approach, and study their leading twist parton distribution amplitudes, generalized parton distribution functions and transverse momentum dependent parton distributions. The spatial distributions of the quark and antiquark on the transverse plane are given, along with their charge and energy distributions on the light front. We find that in the considered mesons, the heavier quarks carry most longitudinal momentum fraction and yield narrow $x$-distributions, while the lighter quarks play an active role in shaping the transverse distributions within both spatial and momentum space, exhibiting a duality embodying characteristics from both light mesons and heavy quarkonium. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2409.05098v1-abstract-full').style.display = 'none'; document.getElementById('2409.05098v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 8 September, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> September 2024. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">10 pages,9 figures</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2409.04276">arXiv:2409.04276</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2409.04276">pdf</a>, <a href="https://arxiv.org/ps/2409.04276">ps</a>, <a href="https://arxiv.org/format/2409.04276">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="High Energy Physics - Experiment">hep-ex</span> </div> </div> <p class="title is-5 mathjax"> Study of the decay $D^0\rightarrow 蟻(770)^-e^+谓_e$ </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=BESIII+Collaboration"> BESIII Collaboration</a>, <a href="/search/?searchtype=author&amp;query=Ablikim%2C+M">M. Ablikim</a>, <a href="/search/?searchtype=author&amp;query=Achasov%2C+M+N">M. N. Achasov</a>, <a href="/search/?searchtype=author&amp;query=Adlarson%2C+P">P. Adlarson</a>, <a href="/search/?searchtype=author&amp;query=Afedulidis%2C+O">O. Afedulidis</a>, <a href="/search/?searchtype=author&amp;query=Ai%2C+X+C">X. C. Ai</a>, <a href="/search/?searchtype=author&amp;query=Aliberti%2C+R">R. Aliberti</a>, <a href="/search/?searchtype=author&amp;query=Amoroso%2C+A">A. Amoroso</a>, <a href="/search/?searchtype=author&amp;query=An%2C+Q">Q. An</a>, <a href="/search/?searchtype=author&amp;query=Bai%2C+Y">Y. Bai</a>, <a href="/search/?searchtype=author&amp;query=Bakina%2C+O">O. Bakina</a>, <a href="/search/?searchtype=author&amp;query=Balossino%2C+I">I. Balossino</a>, <a href="/search/?searchtype=author&amp;query=Ban%2C+Y">Y. Ban</a>, <a href="/search/?searchtype=author&amp;query=Bao%2C+H+-">H. -R. Bao</a>, <a href="/search/?searchtype=author&amp;query=Batozskaya%2C+V">V. Batozskaya</a>, <a href="/search/?searchtype=author&amp;query=Begzsuren%2C+K">K. Begzsuren</a>, <a href="/search/?searchtype=author&amp;query=Berger%2C+N">N. Berger</a>, <a href="/search/?searchtype=author&amp;query=Berlowski%2C+M">M. Berlowski</a>, <a href="/search/?searchtype=author&amp;query=Bertani%2C+M">M. Bertani</a>, <a href="/search/?searchtype=author&amp;query=Bettoni%2C+D">D. Bettoni</a>, <a href="/search/?searchtype=author&amp;query=Bianchi%2C+F">F. Bianchi</a>, <a href="/search/?searchtype=author&amp;query=Bianco%2C+E">E. Bianco</a>, <a href="/search/?searchtype=author&amp;query=Bortone%2C+A">A. Bortone</a>, <a href="/search/?searchtype=author&amp;query=Boyko%2C+I">I. Boyko</a>, <a href="/search/?searchtype=author&amp;query=Briere%2C+R+A">R. A. Briere</a> , et al. (646 additional authors not shown) </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2409.04276v1-abstract-short" style="display: inline;"> We present a study of the semileptonic decay $D^0\rightarrow 蟺^-蟺^0e^{+}谓_{e}$ using an $e^+e^-$ annihilation data sample of $7.93~\mathrm{fb}^{-1}$ collected at the center-of-mass energy of 3.773 GeV with the BESIII detector. The branching fraction of $D^0\to 蟻(770)^-e^+谓_e$ is measured to be $(1.439 \pm 0.033(\rm stat.) \pm 0.027(\rm syst.)) \times10^{-3}$, which is a factor 1.6 more precise tha&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2409.04276v1-abstract-full').style.display = 'inline'; document.getElementById('2409.04276v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2409.04276v1-abstract-full" style="display: none;"> We present a study of the semileptonic decay $D^0\rightarrow 蟺^-蟺^0e^{+}谓_{e}$ using an $e^+e^-$ annihilation data sample of $7.93~\mathrm{fb}^{-1}$ collected at the center-of-mass energy of 3.773 GeV with the BESIII detector. The branching fraction of $D^0\to 蟻(770)^-e^+谓_e$ is measured to be $(1.439 \pm 0.033(\rm stat.) \pm 0.027(\rm syst.)) \times10^{-3}$, which is a factor 1.6 more precise than previous measurements. By performing an amplitude analysis, we measure the hadronic form-factor ratios of $D^0\to 蟻(770)^-e^+谓_e$ at $q^2=0$ assuming the single-pole-dominance parametrization: $r_{V}=V(0)/A_1(0)=1.548\pm0.079(\rm stat.)\pm0.041(\rm syst.)$ and $r_{2}=A_2(0)/A_1(0)=0.823\pm0.056(\rm stat.)\pm0.026(\rm syst.)$. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2409.04276v1-abstract-full').style.display = 'none'; document.getElementById('2409.04276v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 6 September, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> September 2024. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">12 pages, 3 figures</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2409.02578">arXiv:2409.02578</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2409.02578">pdf</a>, <a href="https://arxiv.org/format/2409.02578">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="High Energy Physics - Experiment">hep-ex</span> </div> </div> <p class="title is-5 mathjax"> Search for the massless dark photon with $D^0\to蠅纬&#39;$ and $D^0\to纬纬&#39;$ </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=BESIII+Collaboration"> BESIII Collaboration</a>, <a href="/search/?searchtype=author&amp;query=Ablikim%2C+M">M. Ablikim</a>, <a href="/search/?searchtype=author&amp;query=Achasov%2C+M+N">M. N. Achasov</a>, <a href="/search/?searchtype=author&amp;query=Adlarson%2C+P">P. Adlarson</a>, <a href="/search/?searchtype=author&amp;query=Afedulidis%2C+O">O. Afedulidis</a>, <a href="/search/?searchtype=author&amp;query=Ai%2C+X+C">X. C. Ai</a>, <a href="/search/?searchtype=author&amp;query=Aliberti%2C+R">R. Aliberti</a>, <a href="/search/?searchtype=author&amp;query=Amoroso%2C+A">A. Amoroso</a>, <a href="/search/?searchtype=author&amp;query=Bai%2C+Y">Y. Bai</a>, <a href="/search/?searchtype=author&amp;query=Bakina%2C+O">O. Bakina</a>, <a href="/search/?searchtype=author&amp;query=Balossino%2C+I">I. Balossino</a>, <a href="/search/?searchtype=author&amp;query=Ban%2C+Y">Y. Ban</a>, <a href="/search/?searchtype=author&amp;query=Bao%2C+H+-">H. -R. Bao</a>, <a href="/search/?searchtype=author&amp;query=Batozskaya%2C+V">V. Batozskaya</a>, <a href="/search/?searchtype=author&amp;query=Begzsuren%2C+K">K. Begzsuren</a>, <a href="/search/?searchtype=author&amp;query=Berger%2C+N">N. Berger</a>, <a href="/search/?searchtype=author&amp;query=Berlowski%2C+M">M. Berlowski</a>, <a href="/search/?searchtype=author&amp;query=Bertani%2C+M">M. Bertani</a>, <a href="/search/?searchtype=author&amp;query=Bettoni%2C+D">D. Bettoni</a>, <a href="/search/?searchtype=author&amp;query=Bianchi%2C+F">F. Bianchi</a>, <a href="/search/?searchtype=author&amp;query=Bianco%2C+E">E. Bianco</a>, <a href="/search/?searchtype=author&amp;query=Bortone%2C+A">A. Bortone</a>, <a href="/search/?searchtype=author&amp;query=Boyko%2C+I">I. Boyko</a>, <a href="/search/?searchtype=author&amp;query=Briere%2C+R+A">R. A. Briere</a>, <a href="/search/?searchtype=author&amp;query=Brueggemann%2C+A">A. Brueggemann</a> , et al. (648 additional authors not shown) </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2409.02578v2-abstract-short" style="display: inline;"> Using $7.9~\rm{fb^{-1}}$ of $e^+e^-$ collision data collected at $\sqrt{s}=3.773$ GeV with the BESIII detector at the BEPCII collider, we search for the massless dark photon with the flavor-changing neutral current processes $D^0\to蠅纬&#39;$ and $D^0\to纬纬&#39;$ for the first time. No significant signals are observed, and the upper limits at the 90% confidence level on the massless dark photon branching fra&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2409.02578v2-abstract-full').style.display = 'inline'; document.getElementById('2409.02578v2-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2409.02578v2-abstract-full" style="display: none;"> Using $7.9~\rm{fb^{-1}}$ of $e^+e^-$ collision data collected at $\sqrt{s}=3.773$ GeV with the BESIII detector at the BEPCII collider, we search for the massless dark photon with the flavor-changing neutral current processes $D^0\to蠅纬&#39;$ and $D^0\to纬纬&#39;$ for the first time. No significant signals are observed, and the upper limits at the 90% confidence level on the massless dark photon branching fraction are set to be $1.1\times10^{-5}$ and $2.0\times10^{-6}$ for $D^0\to蠅纬&#39;$ and $D^0\to纬纬&#39;$, respectively. These results provide the most stringent constraint on the new physics energy scale associated with $cu纬&#39;$ coupling in the world, with the new physics energy scale related parameter $|\mathbb{C}|^2+|\mathbb{C}_5|^2&lt;8.2\times10^{-17}~\rm{GeV}^{-2}$ at the 90% confidence level. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2409.02578v2-abstract-full').style.display = 'none'; document.getElementById('2409.02578v2-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 14 October, 2024; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 4 September, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> September 2024. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">10 pages, 3 figures</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2409.02392">arXiv:2409.02392</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2409.02392">pdf</a>, <a href="https://arxiv.org/format/2409.02392">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Machine Learning">cs.LG</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Machine Learning">stat.ML</span> </div> </div> <p class="title is-5 mathjax"> Building Math Agents with Multi-Turn Iterative Preference Learning </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Xiong%2C+W">Wei Xiong</a>, <a href="/search/?searchtype=author&amp;query=Shi%2C+C">Chengshuai Shi</a>, <a href="/search/?searchtype=author&amp;query=Shen%2C+J">Jiaming Shen</a>, <a href="/search/?searchtype=author&amp;query=Rosenberg%2C+A">Aviv Rosenberg</a>, <a href="/search/?searchtype=author&amp;query=Qin%2C+Z">Zhen Qin</a>, <a href="/search/?searchtype=author&amp;query=Calandriello%2C+D">Daniele Calandriello</a>, <a href="/search/?searchtype=author&amp;query=Khalman%2C+M">Misha Khalman</a>, <a href="/search/?searchtype=author&amp;query=Joshi%2C+R">Rishabh Joshi</a>, <a href="/search/?searchtype=author&amp;query=Piot%2C+B">Bilal Piot</a>, <a href="/search/?searchtype=author&amp;query=Saleh%2C+M">Mohammad Saleh</a>, <a href="/search/?searchtype=author&amp;query=Jin%2C+C">Chi Jin</a>, <a href="/search/?searchtype=author&amp;query=Zhang%2C+T">Tong Zhang</a>, <a href="/search/?searchtype=author&amp;query=Liu%2C+T">Tianqi Liu</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2409.02392v1-abstract-short" style="display: inline;"> Recent studies have shown that large language models&#39; (LLMs) mathematical problem-solving capabilities can be enhanced by integrating external tools, such as code interpreters, and employing multi-turn Chain-of-Thought (CoT) reasoning. While current methods focus on synthetic data generation and Supervised Fine-Tuning (SFT), this paper studies the complementary direct preference learning approach&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2409.02392v1-abstract-full').style.display = 'inline'; document.getElementById('2409.02392v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2409.02392v1-abstract-full" style="display: none;"> Recent studies have shown that large language models&#39; (LLMs) mathematical problem-solving capabilities can be enhanced by integrating external tools, such as code interpreters, and employing multi-turn Chain-of-Thought (CoT) reasoning. While current methods focus on synthetic data generation and Supervised Fine-Tuning (SFT), this paper studies the complementary direct preference learning approach to further improve model performance. However, existing direct preference learning algorithms are originally designed for the single-turn chat task, and do not fully address the complexities of multi-turn reasoning and external tool integration required for tool-integrated mathematical reasoning tasks. To fill in this gap, we introduce a multi-turn direct preference learning framework, tailored for this context, that leverages feedback from code interpreters and optimizes trajectory-level preferences. This framework includes multi-turn DPO and multi-turn KTO as specific implementations. The effectiveness of our framework is validated through training of various language models using an augmented prompt set from the GSM8K and MATH datasets. Our results demonstrate substantial improvements: a supervised fine-tuned Gemma-1.1-it-7B model&#39;s performance increased from 77.5% to 83.9% on GSM8K and from 46.1% to 51.2% on MATH. Similarly, a Gemma-2-it-9B model improved from 84.1% to 86.3% on GSM8K and from 51.0% to 54.5% on MATH. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2409.02392v1-abstract-full').style.display = 'none'; document.getElementById('2409.02392v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 3 September, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> September 2024. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">A multi-turn direct preference learning framework for tool-integrated reasoning tasks</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2409.01419">arXiv:2409.01419</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2409.01419">pdf</a>, <a href="https://arxiv.org/format/2409.01419">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="High Energy Physics - Experiment">hep-ex</span> </div> </div> <p class="title is-5 mathjax"> Study of $D^{+} \to K_{S}^{0}K^{*}(892)^{+}$ in $D^{+} \to K_{S}^{0} K_{S}^{0} 蟺^{+}$ </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=BESIII+Collaboration"> BESIII Collaboration</a>, <a href="/search/?searchtype=author&amp;query=Ablikim%2C+M">M. Ablikim</a>, <a href="/search/?searchtype=author&amp;query=Achasov%2C+M+N">M. N. Achasov</a>, <a href="/search/?searchtype=author&amp;query=Adlarson%2C+P">P. Adlarson</a>, <a href="/search/?searchtype=author&amp;query=Afedulidis%2C+O">O. Afedulidis</a>, <a href="/search/?searchtype=author&amp;query=Ai%2C+X+C">X. C. Ai</a>, <a href="/search/?searchtype=author&amp;query=Aliberti%2C+R">R. Aliberti</a>, <a href="/search/?searchtype=author&amp;query=Amoroso%2C+A">A. Amoroso</a>, <a href="/search/?searchtype=author&amp;query=An%2C+Q">Q. An</a>, <a href="/search/?searchtype=author&amp;query=Bai%2C+Y">Y. Bai</a>, <a href="/search/?searchtype=author&amp;query=Bakina%2C+O">O. Bakina</a>, <a href="/search/?searchtype=author&amp;query=Balossino%2C+I">I. Balossino</a>, <a href="/search/?searchtype=author&amp;query=Ban%2C+Y">Y. Ban</a>, <a href="/search/?searchtype=author&amp;query=Bao%2C+H+-">H. -R. Bao</a>, <a href="/search/?searchtype=author&amp;query=Batozskaya%2C+V">V. Batozskaya</a>, <a href="/search/?searchtype=author&amp;query=Begzsuren%2C+K">K. Begzsuren</a>, <a href="/search/?searchtype=author&amp;query=Berger%2C+N">N. Berger</a>, <a href="/search/?searchtype=author&amp;query=Berlowski%2C+M">M. Berlowski</a>, <a href="/search/?searchtype=author&amp;query=Bertani%2C+M">M. Bertani</a>, <a href="/search/?searchtype=author&amp;query=Bettoni%2C+D">D. Bettoni</a>, <a href="/search/?searchtype=author&amp;query=Bianchi%2C+F">F. Bianchi</a>, <a href="/search/?searchtype=author&amp;query=Bianco%2C+E">E. Bianco</a>, <a href="/search/?searchtype=author&amp;query=Bortone%2C+A">A. Bortone</a>, <a href="/search/?searchtype=author&amp;query=Boyko%2C+I">I. Boyko</a>, <a href="/search/?searchtype=author&amp;query=Briere%2C+R+A">R. A. Briere</a> , et al. (638 additional authors not shown) </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2409.01419v1-abstract-short" style="display: inline;"> Using a data sample of $e^+e^-$ collisions corresponding to an integrated luminosity of 7.93 $\rm fb^{-1}$ collected with the BESIII detector at the center-of-mass energy 3.773~GeV, we perform the first amplitude analysis of the decay $D^{+} \to K_{S}^{0} K_{S}^{0} 蟺^{+}$. The absolute branching fraction of $D^{+} \to K_{S}^{0}K_{S}^{0} 蟺^{+}$ is measured to be&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2409.01419v1-abstract-full').style.display = 'inline'; document.getElementById('2409.01419v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2409.01419v1-abstract-full" style="display: none;"> Using a data sample of $e^+e^-$ collisions corresponding to an integrated luminosity of 7.93 $\rm fb^{-1}$ collected with the BESIII detector at the center-of-mass energy 3.773~GeV, we perform the first amplitude analysis of the decay $D^{+} \to K_{S}^{0} K_{S}^{0} 蟺^{+}$. The absolute branching fraction of $D^{+} \to K_{S}^{0}K_{S}^{0} 蟺^{+}$ is measured to be $(2.97 \pm 0.09_{\rm stat.} \pm 0.05_{\rm syst.})\times10^{-3}$. The dominant intermediate process is $D^{+} \to K_{S}^{0}K^{*}(892)^{+}$, whose branching fraction is determined to be $(8.72 \pm 0.28_{\rm stat.} \pm 0.15_{\rm syst.}) \times 10^{-3}$, including all the $K^*(892)^+$ decays. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2409.01419v1-abstract-full').style.display = 'none'; document.getElementById('2409.01419v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 2 September, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> September 2024. </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2409.00267">arXiv:2409.00267</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2409.00267">pdf</a>, <a href="https://arxiv.org/format/2409.00267">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Solar and Stellar Astrophysics">astro-ph.SR</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Plasma Physics">physics.plasm-ph</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Space Physics">physics.space-ph</span> </div> <div class="is-inline-block" style="margin-left: 0.5rem"> <div class="tags has-addons"> <span class="tag is-dark is-size-7">doi</span> <span class="tag is-light is-size-7"><a class="" href="https://doi.org/10.1126/science.adk6953">10.1126/science.adk6953 <i class="fa fa-external-link" aria-hidden="true"></i></a></span> </div> </div> </div> <p class="title is-5 mathjax"> In situ observations of large amplitude Alfv茅n waves heating and accelerating the solar wind </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Rivera%2C+Y+J">Yeimy J. Rivera</a>, <a href="/search/?searchtype=author&amp;query=Badman%2C+S+T">Samuel T. Badman</a>, <a href="/search/?searchtype=author&amp;query=Stevens%2C+M+L">Michael L. Stevens</a>, <a href="/search/?searchtype=author&amp;query=Verniero%2C+J+L">Jaye L. Verniero</a>, <a href="/search/?searchtype=author&amp;query=Stawarz%2C+J+E">Julia E. Stawarz</a>, <a href="/search/?searchtype=author&amp;query=Shi%2C+C">Chen Shi</a>, <a href="/search/?searchtype=author&amp;query=Raines%2C+J+M">Jim M. Raines</a>, <a href="/search/?searchtype=author&amp;query=Paulson%2C+K+W">Kristoff W. Paulson</a>, <a href="/search/?searchtype=author&amp;query=Owen%2C+C+J">Christopher J. Owen</a>, <a href="/search/?searchtype=author&amp;query=Niembro%2C+T">Tatiana Niembro</a>, <a href="/search/?searchtype=author&amp;query=Louarn%2C+P">Philippe Louarn</a>, <a href="/search/?searchtype=author&amp;query=Livi%2C+S+A">Stefano A. Livi</a>, <a href="/search/?searchtype=author&amp;query=Lepri%2C+S+T">Susan T. Lepri</a>, <a href="/search/?searchtype=author&amp;query=Kasper%2C+J+C">Justin C. Kasper</a>, <a href="/search/?searchtype=author&amp;query=Horbury%2C+T+S">Timothy S. Horbury</a>, <a href="/search/?searchtype=author&amp;query=Halekas%2C+J+S">Jasper S. Halekas</a>, <a href="/search/?searchtype=author&amp;query=Dewey%2C+R+M">Ryan M. Dewey</a>, <a href="/search/?searchtype=author&amp;query=De+Marco%2C+R">Rossana De Marco</a>, <a href="/search/?searchtype=author&amp;query=Bale%2C+S+D">Stuart D. Bale</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2409.00267v2-abstract-short" style="display: inline;"> After leaving the Sun&#39;s corona, the solar wind continues to accelerate and cools, but more slowly than expected for a freely expanding adiabatic gas. We use in situ measurements from the Parker Solar Probe and Solar Orbiter spacecrafts to investigate a stream of solar wind as it traverses the inner heliosphere. The observations show heating and acceleration of the the plasma between the outer edge&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2409.00267v2-abstract-full').style.display = 'inline'; document.getElementById('2409.00267v2-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2409.00267v2-abstract-full" style="display: none;"> After leaving the Sun&#39;s corona, the solar wind continues to accelerate and cools, but more slowly than expected for a freely expanding adiabatic gas. We use in situ measurements from the Parker Solar Probe and Solar Orbiter spacecrafts to investigate a stream of solar wind as it traverses the inner heliosphere. The observations show heating and acceleration of the the plasma between the outer edge of the corona and near the orbit of Venus, in connection to the presence of large amplitude Alfv茅n waves. Alfv茅n waves are perturbations in the interplanetary magnetic field that transport energy. Our calculations show the damping and mechanical work performed by the Alfv茅n waves is sufficient to power the heating and acceleration of the fast solar wind in the inner heliosphere. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2409.00267v2-abstract-full').style.display = 'none'; document.getElementById('2409.00267v2-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 5 September, 2024; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 30 August, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> September 2024. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">This is the author&#39;s version of the work. It is posted here by permission of the AAAS for personal use, not for redistribution. The definitive version was published in Science on August 30 2024, DOI: 10.1126/science.adk6953</span> </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Journal ref:</span> Science, 385, 962-966 (2024) </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2408.17214">arXiv:2408.17214</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2408.17214">pdf</a>, <a href="https://arxiv.org/format/2408.17214">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Information Retrieval">cs.IR</span> </div> </div> <p class="title is-5 mathjax"> Efficient Multi-task Prompt Tuning for Recommendation </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Bai%2C+T">Ting Bai</a>, <a href="/search/?searchtype=author&amp;query=Huang%2C+L">Le Huang</a>, <a href="/search/?searchtype=author&amp;query=Yu%2C+Y">Yue Yu</a>, <a href="/search/?searchtype=author&amp;query=Yang%2C+C">Cheng Yang</a>, <a href="/search/?searchtype=author&amp;query=Hou%2C+C">Cheng Hou</a>, <a href="/search/?searchtype=author&amp;query=Zhao%2C+Z">Zhe Zhao</a>, <a href="/search/?searchtype=author&amp;query=Shi%2C+C">Chuan Shi</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2408.17214v1-abstract-short" style="display: inline;"> With the expansion of business scenarios, real recommender systems are facing challenges in dealing with the constantly emerging new tasks in multi-task learning frameworks. In this paper, we attempt to improve the generalization ability of multi-task recommendations when dealing with new tasks. We find that joint training will enhance the performance of the new task but always negatively impact e&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2408.17214v1-abstract-full').style.display = 'inline'; document.getElementById('2408.17214v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2408.17214v1-abstract-full" style="display: none;"> With the expansion of business scenarios, real recommender systems are facing challenges in dealing with the constantly emerging new tasks in multi-task learning frameworks. In this paper, we attempt to improve the generalization ability of multi-task recommendations when dealing with new tasks. We find that joint training will enhance the performance of the new task but always negatively impact existing tasks in most multi-task learning methods. Besides, such a re-training mechanism with new tasks increases the training costs, limiting the generalization ability of multi-task recommendation models. Based on this consideration, we aim to design a suitable sharing mechanism among different tasks while maintaining joint optimization efficiency in new task learning. A novel two-stage prompt-tuning MTL framework (MPT-Rec) is proposed to address task irrelevance and training efficiency problems in multi-task recommender systems. Specifically, we disentangle the task-specific and task-sharing information in the multi-task pre-training stage, then use task-aware prompts to transfer knowledge from other tasks to the new task effectively. By freezing parameters in the pre-training tasks, MPT-Rec solves the negative impacts that may be brought by the new task and greatly reduces the training costs. Extensive experiments on three real-world datasets show the effectiveness of our proposed multi-task learning framework. MPT-Rec achieves the best performance compared to the SOTA multi-task learning method. Besides, it maintains comparable model performance but vastly improves the training efficiency (i.e., with up to 10% parameters in the full training way) in the new task learning. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2408.17214v1-abstract-full').style.display = 'none'; document.getElementById('2408.17214v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 30 August, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> August 2024. </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2408.16654">arXiv:2408.16654</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2408.16654">pdf</a>, <a href="https://arxiv.org/format/2408.16654">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="High Energy Physics - Experiment">hep-ex</span> </div> </div> <p class="title is-5 mathjax"> Measurement of the Decay $螢^{0}\to螞纬$ with Entangled $螢^{0}\bar螢^{0}$ Pairs </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=BESIII+Collaboration"> BESIII Collaboration</a>, <a href="/search/?searchtype=author&amp;query=Ablikim%2C+M">M. Ablikim</a>, <a href="/search/?searchtype=author&amp;query=Achasov%2C+M+N">M. N. Achasov</a>, <a href="/search/?searchtype=author&amp;query=Adlarson%2C+P">P. Adlarson</a>, <a href="/search/?searchtype=author&amp;query=Afedulidis%2C+O">O. Afedulidis</a>, <a href="/search/?searchtype=author&amp;query=Ai%2C+X+C">X. C. Ai</a>, <a href="/search/?searchtype=author&amp;query=Aliberti%2C+R">R. Aliberti</a>, <a href="/search/?searchtype=author&amp;query=Amoroso%2C+A">A. Amoroso</a>, <a href="/search/?searchtype=author&amp;query=An%2C+Q">Q. An</a>, <a href="/search/?searchtype=author&amp;query=Bai%2C+Y">Y. Bai</a>, <a href="/search/?searchtype=author&amp;query=Bakina%2C+O">O. Bakina</a>, <a href="/search/?searchtype=author&amp;query=Balossino%2C+I">I. Balossino</a>, <a href="/search/?searchtype=author&amp;query=Ban%2C+Y">Y. Ban</a>, <a href="/search/?searchtype=author&amp;query=Bao%2C+H+-">H. -R. Bao</a>, <a href="/search/?searchtype=author&amp;query=Batozskaya%2C+V">V. Batozskaya</a>, <a href="/search/?searchtype=author&amp;query=Begzsuren%2C+K">K. Begzsuren</a>, <a href="/search/?searchtype=author&amp;query=Berger%2C+N">N. Berger</a>, <a href="/search/?searchtype=author&amp;query=Berlowski%2C+M">M. Berlowski</a>, <a href="/search/?searchtype=author&amp;query=Bertani%2C+M">M. Bertani</a>, <a href="/search/?searchtype=author&amp;query=Bettoni%2C+D">D. Bettoni</a>, <a href="/search/?searchtype=author&amp;query=Bianchi%2C+F">F. Bianchi</a>, <a href="/search/?searchtype=author&amp;query=Bianco%2C+E">E. Bianco</a>, <a href="/search/?searchtype=author&amp;query=Bortone%2C+A">A. Bortone</a>, <a href="/search/?searchtype=author&amp;query=Boyko%2C+I">I. Boyko</a>, <a href="/search/?searchtype=author&amp;query=Briere%2C+R+A">R. A. Briere</a> , et al. (638 additional authors not shown) </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2408.16654v2-abstract-short" style="display: inline;"> In this Letter, a systematic study of the weak radiative hyperon decay $螢^{0}\to螞纬$ at an electron-positron collider using entangled $螢^{0}\bar螢^{0}$ pair events is presented. The absolute branching fraction for this decay has been measured for the first time, and is $\left(1.347 \pm 0.066_{\mathrm stat.}\pm0.054_{\mathrm syst.}\right)\times 10^{-3}$. The decay asymmetry parameter, which character&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2408.16654v2-abstract-full').style.display = 'inline'; document.getElementById('2408.16654v2-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2408.16654v2-abstract-full" style="display: none;"> In this Letter, a systematic study of the weak radiative hyperon decay $螢^{0}\to螞纬$ at an electron-positron collider using entangled $螢^{0}\bar螢^{0}$ pair events is presented. The absolute branching fraction for this decay has been measured for the first time, and is $\left(1.347 \pm 0.066_{\mathrm stat.}\pm0.054_{\mathrm syst.}\right)\times 10^{-3}$. The decay asymmetry parameter, which characterizes the effect of parity violation in the decay, is determined to be $-0.741 \pm 0.062_{\mathrm stat.}\pm 0.019_{\mathrm syst.}$. The obtained results are consistent with the world average values within the uncertainties, offering valuable insights into the underlying mechanism governing the weak radiative hyperon decays. The charge conjugation parity ($CP$) symmetries of branching fraction and decay asymmetry parameter in the decay are also studied. No statistically significant violation of charge conjugation parity symmetry is observed. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2408.16654v2-abstract-full').style.display = 'none'; document.getElementById('2408.16654v2-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 29 August, 2024; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 29 August, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> August 2024. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">10 pages, 3 figures</span> </p> </li> </ol> <nav class="pagination is-small is-centered breathe-horizontal" role="navigation" aria-label="pagination"> <a href="" class="pagination-previous 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