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<button class="button is-small is-link">Go</button> </div> </div> </form> </div> </div> <ol class="breathe-horizontal" start="1"> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2402.15589">arXiv:2402.15589</a> <span> [<a href="https://arxiv.org/pdf/2402.15589">pdf</a>, <a href="https://arxiv.org/format/2402.15589">other</a>] </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> <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="Neural and Evolutionary Computing">cs.NE</span> </div> </div> <p class="title is-5 mathjax"> Prompting LLMs to Compose Meta-Review Drafts from Peer-Review Narratives of Scholarly Manuscripts </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&query=Santu%2C+S+K+K">Shubhra Kanti Karmaker Santu</a>, <a href="/search/cs?searchtype=author&query=Sinha%2C+S+K">Sanjeev Kumar Sinha</a>, <a href="/search/cs?searchtype=author&query=Bansal%2C+N">Naman Bansal</a>, <a href="/search/cs?searchtype=author&query=Knipper%2C+A">Alex Knipper</a>, <a href="/search/cs?searchtype=author&query=Sarkar%2C+S">Souvika Sarkar</a>, <a href="/search/cs?searchtype=author&query=Salvador%2C+J">John Salvador</a>, <a href="/search/cs?searchtype=author&query=Mahajan%2C+Y">Yash Mahajan</a>, <a href="/search/cs?searchtype=author&query=Guttikonda%2C+S">Sri Guttikonda</a>, <a href="/search/cs?searchtype=author&query=Akter%2C+M">Mousumi Akter</a>, <a href="/search/cs?searchtype=author&query=Freestone%2C+M">Matthew Freestone</a>, <a href="/search/cs?searchtype=author&query=Williams%2C+M+C">Matthew C. Williams Jr</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="2402.15589v1-abstract-short" style="display: inline;"> One of the most important yet onerous tasks in the academic peer-reviewing process is composing meta-reviews, which involves understanding the core contributions, strengths, and weaknesses of a scholarly manuscript based on peer-review narratives from multiple experts and then summarizing those multiple experts' perspectives into a concise holistic overview. Given the latest major developments in… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2402.15589v1-abstract-full').style.display = 'inline'; document.getElementById('2402.15589v1-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2402.15589v1-abstract-full" style="display: none;"> One of the most important yet onerous tasks in the academic peer-reviewing process is composing meta-reviews, which involves understanding the core contributions, strengths, and weaknesses of a scholarly manuscript based on peer-review narratives from multiple experts and then summarizing those multiple experts' perspectives into a concise holistic overview. Given the latest major developments in generative AI, especially Large Language Models (LLMs), it is very compelling to rigorously study the utility of LLMs in generating such meta-reviews in an academic peer-review setting. In this paper, we perform a case study with three popular LLMs, i.e., GPT-3.5, LLaMA2, and PaLM2, to automatically generate meta-reviews by prompting them with different types/levels of prompts based on the recently proposed TELeR taxonomy. Finally, we perform a detailed qualitative study of the meta-reviews generated by the LLMs and summarize our findings and recommendations for prompting LLMs for this complex task. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2402.15589v1-abstract-full').style.display = 'none'; document.getElementById('2402.15589v1-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 23 February, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> February 2024. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">ACM Class:</span> I.2.7 </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2309.03747">arXiv:2309.03747</a> <span> [<a href="https://arxiv.org/pdf/2309.03747">pdf</a>, <a href="https://arxiv.org/format/2309.03747">other</a>] </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"> The Daunting Dilemma with Sentence Encoders: Success on Standard Benchmarks, Failure in Capturing Basic Semantic Properties </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&query=Mahajan%2C+Y">Yash Mahajan</a>, <a href="/search/cs?searchtype=author&query=Bansal%2C+N">Naman Bansal</a>, <a href="/search/cs?searchtype=author&query=Karmaker%2C+S+K">Shubhra Kanti Karmaker</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="2309.03747v1-abstract-short" style="display: inline;"> In this paper, we adopted a retrospective approach to examine and compare five existing popular sentence encoders, i.e., Sentence-BERT, Universal Sentence Encoder (USE), LASER, InferSent, and Doc2vec, in terms of their performance on downstream tasks versus their capability to capture basic semantic properties. Initially, we evaluated all five sentence encoders on the popular SentEval benchmark an… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2309.03747v1-abstract-full').style.display = 'inline'; document.getElementById('2309.03747v1-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2309.03747v1-abstract-full" style="display: none;"> In this paper, we adopted a retrospective approach to examine and compare five existing popular sentence encoders, i.e., Sentence-BERT, Universal Sentence Encoder (USE), LASER, InferSent, and Doc2vec, in terms of their performance on downstream tasks versus their capability to capture basic semantic properties. Initially, we evaluated all five sentence encoders on the popular SentEval benchmark and found that multiple sentence encoders perform quite well on a variety of popular downstream tasks. However, being unable to find a single winner in all cases, we designed further experiments to gain a deeper understanding of their behavior. Specifically, we proposed four semantic evaluation criteria, i.e., Paraphrasing, Synonym Replacement, Antonym Replacement, and Sentence Jumbling, and evaluated the same five sentence encoders using these criteria. We found that the Sentence-Bert and USE models pass the paraphrasing criterion, with SBERT being the superior between the two. LASER dominates in the case of the synonym replacement criterion. Interestingly, all the sentence encoders failed the antonym replacement and jumbling criteria. These results suggest that although these popular sentence encoders perform quite well on the SentEval benchmark, they still struggle to capture some basic semantic properties, thus, posing a daunting dilemma in NLP research. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2309.03747v1-abstract-full').style.display = 'none'; document.getElementById('2309.03747v1-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 7 September, 2023; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> September 2023. </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2107.11737">arXiv:2107.11737</a> <span> [<a href="https://arxiv.org/pdf/2107.11737">pdf</a>] </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> </div> </div> <p class="title is-5 mathjax"> Mathematical Modeling of Heat Conduction </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&query=Momin%2C+A+A">Abdul Aziz Momin</a>, <a href="/search/cs?searchtype=author&query=Shende%2C+N">Nikhil Shende</a>, <a href="/search/cs?searchtype=author&query=Anamtatmakula%2C+A">Abhijna Anamtatmakula</a>, <a href="/search/cs?searchtype=author&query=Ganguly%2C+E">Emily Ganguly</a>, <a href="/search/cs?searchtype=author&query=Gurbani%2C+A">Ashwin Gurbani</a>, <a href="/search/cs?searchtype=author&query=Joshi%2C+C+A">Chaitanya A Joshi</a>, <a href="/search/cs?searchtype=author&query=Mahajan%2C+Y+Y">Yogesh Y Mahajan</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="2107.11737v1-abstract-short" style="display: inline;"> This report describes a mathematical model of heat conduction. The differential equation for heat conduction in one dimensional rod has been derived. The explicit finite difference numerical method is used to solve this differential equation. Then for simulation, a code was written in using python libraries via Jupyter notebook. The simulation carried out for Aluminum, Copper and Mild Steel rods a… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2107.11737v1-abstract-full').style.display = 'inline'; document.getElementById('2107.11737v1-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2107.11737v1-abstract-full" style="display: none;"> This report describes a mathematical model of heat conduction. The differential equation for heat conduction in one dimensional rod has been derived. The explicit finite difference numerical method is used to solve this differential equation. Then for simulation, a code was written in using python libraries via Jupyter notebook. The simulation carried out for Aluminum, Copper and Mild Steel rods and results were discussed. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2107.11737v1-abstract-full').style.display = 'none'; document.getElementById('2107.11737v1-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 25 July, 2021; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> July 2021. </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, 9 figures, 3 tables, IMRSE-2021(https://www.imrse2021.com/)</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2011.14575">arXiv:2011.14575</a> <span> [<a href="https://arxiv.org/pdf/2011.14575">pdf</a>, <a href="https://arxiv.org/format/2011.14575">other</a>] </span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Social and Information Networks">cs.SI</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/10.1109/ACCESS.2021.3094196">10.1109/ACCESS.2021.3094196 <i class="fa fa-external-link" aria-hidden="true"></i></a></span> </div> </div> </div> <p class="title is-5 mathjax"> A Survey on Centrality Metrics and Their Implications in Network Resilience </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&query=Wan%2C+Z">Zelin Wan</a>, <a href="/search/cs?searchtype=author&query=Mahajan%2C+Y">Yash Mahajan</a>, <a href="/search/cs?searchtype=author&query=Kang%2C+B+W">Beom Woo Kang</a>, <a href="/search/cs?searchtype=author&query=Moore%2C+T+J">Terrence J. Moore</a>, <a href="/search/cs?searchtype=author&query=Cho%2C+J">Jin-Hee Cho</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="2011.14575v1-abstract-short" style="display: inline;"> Centrality metrics have been used in various networks, such as communication, social, biological, geographic, or contact networks. In particular, they have been used in order to study and analyze targeted attack behaviors and investigated their effect on network resilience. Although a rich volume of centrality metrics has been developed for decades, a limited set of centrality metrics have been co… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2011.14575v1-abstract-full').style.display = 'inline'; document.getElementById('2011.14575v1-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2011.14575v1-abstract-full" style="display: none;"> Centrality metrics have been used in various networks, such as communication, social, biological, geographic, or contact networks. In particular, they have been used in order to study and analyze targeted attack behaviors and investigated their effect on network resilience. Although a rich volume of centrality metrics has been developed for decades, a limited set of centrality metrics have been commonly in use. This paper aims to introduce various existing centrality metrics and discuss their applicabilities and performance based on the results obtained from extensive simulation experiments to encourage their use in solving various computing and engineering problems in networks. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2011.14575v1-abstract-full').style.display = 'none'; document.getElementById('2011.14575v1-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 30 November, 2020; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> November 2020. </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">Main paper: 36 pages, 2 figures. 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