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Artificial Intelligence
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submissions</h2> <ul> <li> <a href="/list/cs.AI/recent?skip=0&show=50"> Tue, 8 Apr 2025 </a> </li><li> <a href="/list/cs.AI/recent?skip=288&show=50"> Mon, 7 Apr 2025 </a> </li><li> <a href="/list/cs.AI/recent?skip=391&show=50"> Fri, 4 Apr 2025 </a> </li><li> <a href="/list/cs.AI/recent?skip=505&show=50"> Thu, 3 Apr 2025 </a> </li><li> <a href="/list/cs.AI/recent?skip=616&show=50"> Wed, 2 Apr 2025 </a> </li></ul> <p>See today's <a id="new-cs.AI" aria-labelledby="new-cs.AI" href="/list/cs.AI/new">new</a> changes</p> <div class='paging'>Total of 756 entries : <span>1-50</span> <a href=/list/cs.AI/recent?skip=50&show=50>51-100</a> <a href=/list/cs.AI/recent?skip=100&show=50>101-150</a> <a href=/list/cs.AI/recent?skip=150&show=50>151-200</a> <span>...</span> <a href=/list/cs.AI/recent?skip=750&show=50>751-756</a> </div> <div class='morefewer'>Showing up to 50 entries per page: <a href=/list/cs.AI/recent?skip=0&show=25 rel="nofollow"> fewer</a> | <a href=/list/cs.AI/recent?skip=0&show=100 rel="nofollow"> more</a> | <a href=/list/cs.AI/recent?skip=0&show=2000 rel="nofollow"> all</a> </div> <dl id='articles'> <h3>Tue, 8 Apr 2025 (showing first 50 of 288 entries )</h3> <dt> <a name='item1'>[1]</a> <a href ="/abs/2504.05299" title="Abstract" id="2504.05299"> arXiv:2504.05299 </a> [<a href="/pdf/2504.05299" title="Download PDF" id="pdf-2504.05299" aria-labelledby="pdf-2504.05299">pdf</a>, <a href="https://arxiv.org/html/2504.05299v1" title="View HTML" id="html-2504.05299" aria-labelledby="html-2504.05299" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.05299" title="Other formats" id="oth-2504.05299" aria-labelledby="oth-2504.05299">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> SmolVLM: Redefining small and efficient multimodal models </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Marafioti,+A">Andr茅s Marafioti</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Zohar,+O">Orr Zohar</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Farr%C3%A9,+M">Miquel Farr茅</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Noyan,+M">Merve Noyan</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Bakouch,+E">Elie Bakouch</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Cuenca,+P">Pedro Cuenca</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Zakka,+C">Cyril Zakka</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Allal,+L+B">Loubna Ben Allal</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Lozhkov,+A">Anton Lozhkov</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Tazi,+N">Nouamane Tazi</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Vaibhav">Vaibhav Srivastav</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Lochner,+J">Joshua Lochner</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Larcher,+H">Hugo Larcher</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Morlon,+M">Mathieu Morlon</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Tunstall,+L">Lewis Tunstall</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=von+Werra,+L">Leandro von Werra</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Wolf,+T">Thomas Wolf</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Artificial Intelligence (cs.AI)</span>; Computer Vision and Pattern Recognition (cs.CV) </div> </div> </dd> <dt> <a name='item2'>[2]</a> <a href ="/abs/2504.05278" title="Abstract" id="2504.05278"> arXiv:2504.05278 </a> [<a href="/pdf/2504.05278" title="Download PDF" id="pdf-2504.05278" aria-labelledby="pdf-2504.05278">pdf</a>, <a href="https://arxiv.org/html/2504.05278v1" title="View HTML" id="html-2504.05278" aria-labelledby="html-2504.05278" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.05278" title="Other formats" id="oth-2504.05278" aria-labelledby="oth-2504.05278">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> The challenge of uncertainty quantification of large language models in medicine </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Atf,+Z">Zahra Atf</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Safavi-Naini,+S+A+A">Seyed Amir Ahmad Safavi-Naini</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Lewis,+P+R">Peter R. Lewis</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Mahjoubfar,+A">Aref Mahjoubfar</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Naderi,+N">Nariman Naderi</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Savage,+T+R">Thomas R. Savage</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Soroush,+A">Ali Soroush</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 25 pages, 11 figures </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Artificial Intelligence (cs.AI)</span> </div> </div> </dd> <dt> <a name='item3'>[3]</a> <a href ="/abs/2504.05259" title="Abstract" id="2504.05259"> arXiv:2504.05259 </a> [<a href="/pdf/2504.05259" title="Download PDF" id="pdf-2504.05259" aria-labelledby="pdf-2504.05259">pdf</a>, <a href="https://arxiv.org/html/2504.05259v1" title="View HTML" id="html-2504.05259" aria-labelledby="html-2504.05259" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.05259" title="Other formats" id="oth-2504.05259" aria-labelledby="oth-2504.05259">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> How to evaluate control measures for LLM agents? A trajectory from today to superintelligence </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Korbak,+T">Tomek Korbak</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Balesni,+M">Mikita Balesni</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Shlegeris,+B">Buck Shlegeris</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Irving,+G">Geoffrey Irving</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Artificial Intelligence (cs.AI)</span>; Cryptography and Security (cs.CR) </div> </div> </dd> <dt> <a name='item4'>[4]</a> <a href ="/abs/2504.05231" title="Abstract" id="2504.05231"> arXiv:2504.05231 </a> [<a href="/pdf/2504.05231" title="Download PDF" id="pdf-2504.05231" aria-labelledby="pdf-2504.05231">pdf</a>, <a href="https://arxiv.org/html/2504.05231v1" title="View HTML" id="html-2504.05231" aria-labelledby="html-2504.05231" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.05231" title="Other formats" id="oth-2504.05231" aria-labelledby="oth-2504.05231">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Mapping biodiversity at very-high resolution in Europe </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Leblanc,+C">C茅sar Leblanc</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Picek,+L">Lukas Picek</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Deneu,+B">Benjamin Deneu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Bonnet,+P">Pierre Bonnet</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Servajean,+M">Maximilien Servajean</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Palard,+R">R茅mi Palard</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Joly,+A">Alexis Joly</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Artificial Intelligence (cs.AI)</span>; Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG) </div> </div> </dd> <dt> <a name='item5'>[5]</a> <a href ="/abs/2504.05229" title="Abstract" id="2504.05229"> arXiv:2504.05229 </a> [<a href="/pdf/2504.05229" title="Download PDF" id="pdf-2504.05229" aria-labelledby="pdf-2504.05229">pdf</a>, <a href="https://arxiv.org/html/2504.05229v1" title="View HTML" id="html-2504.05229" aria-labelledby="html-2504.05229" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.05229" title="Other formats" id="oth-2504.05229" aria-labelledby="oth-2504.05229">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> FinGrAct: A Framework for FINe-GRrained Evaluation of ACTionability in Explainable Automatic Fact-Checking </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Eldifrawi,+I">Islam Eldifrawi</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Wang,+S">Shengrui Wang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Trabelsi,+A">Amine Trabelsi</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Artificial Intelligence (cs.AI)</span> </div> </div> </dd> <dt> <a name='item6'>[6]</a> <a href ="/abs/2504.05163" title="Abstract" id="2504.05163"> arXiv:2504.05163 </a> [<a href="/pdf/2504.05163" title="Download PDF" id="pdf-2504.05163" aria-labelledby="pdf-2504.05163">pdf</a>, <a href="https://arxiv.org/html/2504.05163v1" title="View HTML" id="html-2504.05163" aria-labelledby="html-2504.05163" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.05163" title="Other formats" id="oth-2504.05163" aria-labelledby="oth-2504.05163">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Evaluating Knowledge Graph Based Retrieval Augmented Generation Methods under Knowledge Incompleteness </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Zhou,+D">Dongzhuoran Zhou</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Zhu,+Y">Yuqicheng Zhu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=He,+Y">Yuan He</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Chen,+J">Jiaoyan Chen</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Kharlamov,+E">Evgeny Kharlamov</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Staab,+S">Steffen Staab</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Under Review </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Artificial Intelligence (cs.AI)</span> </div> </div> </dd> <dt> <a name='item7'>[7]</a> <a href ="/abs/2504.05118" title="Abstract" id="2504.05118"> arXiv:2504.05118 </a> [<a href="/pdf/2504.05118" title="Download PDF" id="pdf-2504.05118" aria-labelledby="pdf-2504.05118">pdf</a>, <a href="https://arxiv.org/html/2504.05118v1" title="View HTML" id="html-2504.05118" aria-labelledby="html-2504.05118" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.05118" title="Other formats" id="oth-2504.05118" aria-labelledby="oth-2504.05118">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=YuYue">YuYue</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Yuan,+Y">Yufeng Yuan</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Yu,+Q">Qiying Yu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Zuo,+X">Xiaochen Zuo</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Zhu,+R">Ruofei Zhu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Xu,+W">Wenyuan Xu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Chen,+J">Jiaze Chen</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Wang,+C">Chengyi Wang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Fan,+T">TianTian Fan</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Du,+Z">Zhengyin Du</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Wei,+X">Xiangpeng Wei</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Liu,+G">Gaohong Liu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Liu,+J">Juncai Liu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Liu,+L">Lingjun Liu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Lin,+H">Haibin Lin</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Lin,+Z">Zhiqi Lin</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Ma,+B">Bole Ma</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Zhang,+C">Chi Zhang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Zhang,+M">Mofan Zhang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Zhang,+W">Wang Zhang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Zhu,+H">Hang Zhu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Zhang,+R">Ru Zhang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Liu,+X">Xin Liu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Wang,+M">Mingxuan Wang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Wu,+Y">Yonghui Wu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Yan,+L">Lin Yan</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Artificial Intelligence (cs.AI)</span> </div> </div> </dd> <dt> <a name='item8'>[8]</a> <a href ="/abs/2504.05108" title="Abstract" id="2504.05108"> arXiv:2504.05108 </a> [<a href="/pdf/2504.05108" title="Download PDF" id="pdf-2504.05108" aria-labelledby="pdf-2504.05108">pdf</a>, <a href="/format/2504.05108" title="Other formats" id="oth-2504.05108" aria-labelledby="oth-2504.05108">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Algorithm Discovery With LLMs: Evolutionary Search Meets Reinforcement Learning </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Surina,+A">Anja Surina</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Mansouri,+A">Amin Mansouri</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Quaedvlieg,+L">Lars Quaedvlieg</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Seddas,+A">Amal Seddas</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Viazovska,+M">Maryna Viazovska</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Abbe,+E">Emmanuel Abbe</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Gulcehre,+C">Caglar Gulcehre</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 30 pages </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Artificial Intelligence (cs.AI)</span>; Machine Learning (cs.LG); Neural and Evolutionary Computing (cs.NE) </div> </div> </dd> <dt> <a name='item9'>[9]</a> <a href ="/abs/2504.05047" title="Abstract" id="2504.05047"> arXiv:2504.05047 </a> [<a href="/pdf/2504.05047" title="Download PDF" id="pdf-2504.05047" aria-labelledby="pdf-2504.05047">pdf</a>, <a href="https://arxiv.org/html/2504.05047v1" title="View HTML" id="html-2504.05047" aria-labelledby="html-2504.05047" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.05047" title="Other formats" id="oth-2504.05047" aria-labelledby="oth-2504.05047">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Debate Only When Necessary: Adaptive Multiagent Collaboration for Efficient LLM Reasoning </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Eo,+S">Sugyeong Eo</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Moon,+H">Hyeonseok Moon</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Zi,+E+H">Evelyn Hayoon Zi</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Park,+C">Chanjun Park</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Lim,+H">Heuiseok Lim</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Artificial Intelligence (cs.AI)</span> </div> </div> </dd> <dt> <a name='item10'>[10]</a> <a href ="/abs/2504.04982" title="Abstract" id="2504.04982"> arXiv:2504.04982 </a> [<a href="/pdf/2504.04982" title="Download PDF" id="pdf-2504.04982" aria-labelledby="pdf-2504.04982">pdf</a>, <a href="https://arxiv.org/html/2504.04982v1" title="View HTML" id="html-2504.04982" aria-labelledby="html-2504.04982" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.04982" title="Other formats" id="oth-2504.04982" aria-labelledby="oth-2504.04982">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Transforming Future Data Center Operations and Management via Physical AI </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Cao,+Z">Zhiwei Cao</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Li,+M">Minghao Li</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Lin,+F">Feng Lin</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Fu,+Q">Qiang Fu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Jia,+J">Jimin Jia</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Wen,+Y">Yonggang Wen</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Yin,+J">Jianxiong Yin</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=See,+S">Simon See</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 9 pages, 5 figures </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Artificial Intelligence (cs.AI)</span>; Distributed, Parallel, and Cluster Computing (cs.DC) </div> </div> </dd> <dt> <a name='item11'>[11]</a> <a href ="/abs/2504.04954" title="Abstract" id="2504.04954"> arXiv:2504.04954 </a> [<a href="/pdf/2504.04954" title="Download PDF" id="pdf-2504.04954" aria-labelledby="pdf-2504.04954">pdf</a>, <a href="https://arxiv.org/html/2504.04954v1" title="View HTML" id="html-2504.04954" aria-labelledby="html-2504.04954" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.04954" title="Other formats" id="oth-2504.04954" aria-labelledby="oth-2504.04954">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> GOTHAM: Graph Class Incremental Learning Framework under Weak Supervision </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Shahane,+A+H">Aditya Hemant Shahane</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=A.P,+P">Prathosh A.P</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Kumar,+S">Sandeep Kumar</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Artificial Intelligence (cs.AI)</span> </div> </div> </dd> <dt> <a name='item12'>[12]</a> <a href ="/abs/2504.04942" title="Abstract" id="2504.04942"> arXiv:2504.04942 </a> [<a href="/pdf/2504.04942" title="Download PDF" id="pdf-2504.04942" aria-labelledby="pdf-2504.04942">pdf</a>, <a href="https://arxiv.org/html/2504.04942v1" title="View HTML" id="html-2504.04942" aria-labelledby="html-2504.04942" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.04942" title="Other formats" id="oth-2504.04942" aria-labelledby="oth-2504.04942">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Lemmanaid: Neuro-Symbolic Lemma Conjecturing </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Alhessi,+Y">Yousef Alhessi</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Einarsd%C3%B3ttir,+S+H">S贸lr煤n Halla Einarsd贸ttir</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Granberry,+G">George Granberry</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=First,+E">Emily First</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Johansson,+M">Moa Johansson</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Lerner,+S">Sorin Lerner</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Smallbone,+N">Nicholas Smallbone</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Artificial Intelligence (cs.AI)</span>; Logic in Computer Science (cs.LO) </div> </div> </dd> <dt> <a name='item13'>[13]</a> <a href ="/abs/2504.04918" title="Abstract" id="2504.04918"> arXiv:2504.04918 </a> [<a href="/pdf/2504.04918" title="Download PDF" id="pdf-2504.04918" aria-labelledby="pdf-2504.04918">pdf</a>, <a href="https://arxiv.org/html/2504.04918v1" title="View HTML" id="html-2504.04918" aria-labelledby="html-2504.04918" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.04918" title="Other formats" id="oth-2504.04918" aria-labelledby="oth-2504.04918">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Constitution or Collapse? Exploring Constitutional AI with Llama 3-8B </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Zhang,+X">Xue Zhang</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 6 pages, 2 figures. Conducted as part of research on alignment techniques for language models </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Artificial Intelligence (cs.AI)</span> </div> </div> </dd> <dt> <a name='item14'>[14]</a> <a href ="/abs/2504.04862" title="Abstract" id="2504.04862"> arXiv:2504.04862 </a> [<a href="/pdf/2504.04862" title="Download PDF" id="pdf-2504.04862" aria-labelledby="pdf-2504.04862">pdf</a>, <a href="https://arxiv.org/html/2504.04862v1" title="View HTML" id="html-2504.04862" aria-labelledby="html-2504.04862" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.04862" title="Other formats" id="oth-2504.04862" aria-labelledby="oth-2504.04862">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> GAMDTP: Dynamic Trajectory Prediction with Graph Attention Mamba Network </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Liu,+Y">Yunxiang Liu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Niu,+H">Hongkuo Niu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Zhu,+J">Jianlin Zhu</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Artificial Intelligence (cs.AI)</span>; Robotics (cs.RO) </div> </div> </dd> <dt> <a name='item15'>[15]</a> <a href ="/abs/2504.04858" title="Abstract" id="2504.04858"> arXiv:2504.04858 </a> [<a href="/pdf/2504.04858" title="Download PDF" id="pdf-2504.04858" aria-labelledby="pdf-2504.04858">pdf</a>, <a href="https://arxiv.org/html/2504.04858v1" title="View HTML" id="html-2504.04858" aria-labelledby="html-2504.04858" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.04858" title="Other formats" id="oth-2504.04858" aria-labelledby="oth-2504.04858">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Don't Lag, RAG: Training-Free Adversarial Detection Using RAG </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Kazoom,+R">Roie Kazoom</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Lapid,+R">Raz Lapid</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Sipper,+M">Moshe Sipper</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Hadar,+O">Ofer Hadar</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Artificial Intelligence (cs.AI)</span>; Machine Learning (cs.LG) </div> </div> </dd> <dt> <a name='item16'>[16]</a> <a href ="/abs/2504.04855" title="Abstract" id="2504.04855"> arXiv:2504.04855 </a> [<a href="/pdf/2504.04855" title="Download PDF" id="pdf-2504.04855" aria-labelledby="pdf-2504.04855">pdf</a>, <a href="https://arxiv.org/html/2504.04855v1" title="View HTML" id="html-2504.04855" aria-labelledby="html-2504.04855" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.04855" title="Other formats" id="oth-2504.04855" aria-labelledby="oth-2504.04855">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> BIASINSPECTOR: Detecting Bias in Structured Data through LLM Agents </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Li,+H">Haoxuan Li</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Ma,+M+D">Mingyu Derek Ma</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Huang,+J">Jen-tse Huang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Weng,+Z">Zhaotian Weng</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Wang,+W">Wei Wang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Zhao,+J">Jieyu Zhao</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 21 pages,6 figures </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Artificial Intelligence (cs.AI)</span> </div> </div> </dd> <dt> <a name='item17'>[17]</a> <a href ="/abs/2504.04850" title="Abstract" id="2504.04850"> arXiv:2504.04850 </a> [<a href="/pdf/2504.04850" title="Download PDF" id="pdf-2504.04850" aria-labelledby="pdf-2504.04850">pdf</a>, <a href="https://arxiv.org/html/2504.04850v1" title="View HTML" id="html-2504.04850" aria-labelledby="html-2504.04850" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.04850" title="Other formats" id="oth-2504.04850" aria-labelledby="oth-2504.04850">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> An Efficient Approach for Cooperative Multi-Agent Learning Problems </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Aso-Mollar,+%C3%81">脕ngel Aso-Mollar</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Onaindia,+E">Eva Onaindia</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Accepted at ICTAI 2024 </div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> 2024 IEEE 36th International Conference on Tools with Artificial Intelligence (ICTAI) </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Artificial Intelligence (cs.AI)</span> </div> </div> </dd> <dt> <a name='item18'>[18]</a> <a href ="/abs/2504.04789" title="Abstract" id="2504.04789"> arXiv:2504.04789 </a> [<a href="/pdf/2504.04789" title="Download PDF" id="pdf-2504.04789" aria-labelledby="pdf-2504.04789">pdf</a>, <a href="https://arxiv.org/html/2504.04789v1" title="View HTML" id="html-2504.04789" aria-labelledby="html-2504.04789" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.04789" title="Other formats" id="oth-2504.04789" aria-labelledby="oth-2504.04789">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Multimodal Agricultural Agent Architecture (MA3): A New Paradigm for Intelligent Agricultural Decision-Making </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Xu,+Z">Zhuoning Xu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Xu,+J">Jian Xu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Zhang,+M">Mingqing Zhang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Wang,+P">Peijie Wang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Deng,+C">Chao Deng</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Liu,+C">Cheng-Lin Liu</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Artificial Intelligence (cs.AI)</span> </div> </div> </dd> <dt> <a name='item19'>[19]</a> <a href ="/abs/2504.04785" title="Abstract" id="2504.04785"> arXiv:2504.04785 </a> [<a href="/pdf/2504.04785" title="Download PDF" id="pdf-2504.04785" aria-labelledby="pdf-2504.04785">pdf</a>, <a href="/format/2504.04785" title="Other formats" id="oth-2504.04785" aria-labelledby="oth-2504.04785">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Weak-for-Strong: Training Weak Meta-Agent to Harness Strong Executors </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Nie,+F">Fan Nie</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Feng,+L">Lan Feng</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Ye,+H">Haotian Ye</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Liang,+W">Weixin Liang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Lu,+P">Pan Lu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Yao,+H">Huaxiu Yao</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Alahi,+A">Alexandre Alahi</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Zou,+J">James Zou</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Artificial Intelligence (cs.AI)</span> </div> </div> </dd> <dt> <a name='item20'>[20]</a> <a href ="/abs/2504.04736" title="Abstract" id="2504.04736"> arXiv:2504.04736 </a> [<a href="/pdf/2504.04736" title="Download PDF" id="pdf-2504.04736" aria-labelledby="pdf-2504.04736">pdf</a>, <a href="https://arxiv.org/html/2504.04736v1" title="View HTML" id="html-2504.04736" aria-labelledby="html-2504.04736" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.04736" title="Other formats" id="oth-2504.04736" aria-labelledby="oth-2504.04736">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Synthetic Data Generation & Multi-Step RL for Reasoning & Tool Use </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Goldie,+A">Anna Goldie</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Mirhoseini,+A">Azalia Mirhoseini</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Zhou,+H">Hao Zhou</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Cai,+I">Irene Cai</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Manning,+C+D">Christopher D. Manning</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Artificial Intelligence (cs.AI)</span>; Computation and Language (cs.CL); Machine Learning (cs.LG) </div> </div> </dd> <dt> <a name='item21'>[21]</a> <a href ="/abs/2504.04711" title="Abstract" id="2504.04711"> arXiv:2504.04711 </a> [<a href="/pdf/2504.04711" title="Download PDF" id="pdf-2504.04711" aria-labelledby="pdf-2504.04711">pdf</a>, <a href="https://arxiv.org/html/2504.04711v1" title="View HTML" id="html-2504.04711" aria-labelledby="html-2504.04711" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.04711" title="Other formats" id="oth-2504.04711" aria-labelledby="oth-2504.04711">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Generalising from Self-Produced Data: Model Training Beyond Human Constraints </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Alhajir,+A+D">Alfath Daryl Alhajir</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Dodgson,+J">Jennifer Dodgson</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Lim,+J">Joseph Lim</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Phi,+T+M">Truong Ma Phi</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Peh,+J">Julian Peh</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Pattirane,+A+R+J">Akira Rafhael Janson Pattirane</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Poovaragan,+L">Lokesh Poovaragan</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 16 pages, 2 figures </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Artificial Intelligence (cs.AI)</span> </div> </div> </dd> <dt> <a name='item22'>[22]</a> <a href ="/abs/2504.04675" title="Abstract" id="2504.04675"> arXiv:2504.04675 </a> [<a href="/pdf/2504.04675" title="Download PDF" id="pdf-2504.04675" aria-labelledby="pdf-2504.04675">pdf</a>, <a href="https://arxiv.org/html/2504.04675v1" title="View HTML" id="html-2504.04675" aria-labelledby="html-2504.04675" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.04675" title="Other formats" id="oth-2504.04675" aria-labelledby="oth-2504.04675">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> HypRL: Reinforcement Learning of Control Policies for Hyperproperties </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Hsu,+T">Tzu-Han Hsu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Rafieioskouei,+A">Arshia Rafieioskouei</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Bonakdarpour,+B">Borzoo Bonakdarpour</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Artificial Intelligence (cs.AI)</span>; Logic in Computer Science (cs.LO) </div> </div> </dd> <dt> <a name='item23'>[23]</a> <a href ="/abs/2504.04608" title="Abstract" id="2504.04608"> arXiv:2504.04608 </a> [<a href="/pdf/2504.04608" title="Download PDF" id="pdf-2504.04608" aria-labelledby="pdf-2504.04608">pdf</a>, <a href="/format/2504.04608" title="Other formats" id="oth-2504.04608" aria-labelledby="oth-2504.04608">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> AI in a vat: Fundamental limits of efficient world modelling for agent sandboxing and interpretability </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Rosas,+F">Fernando Rosas</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Boyd,+A">Alexander Boyd</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Baltieri,+M">Manuel Baltieri</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 38 pages, 5 figures </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Artificial Intelligence (cs.AI)</span>; Systems and Control (eess.SY) </div> </div> </dd> <dt> <a name='item24'>[24]</a> <a href ="/abs/2504.04600" title="Abstract" id="2504.04600"> arXiv:2504.04600 </a> [<a href="/pdf/2504.04600" title="Download PDF" id="pdf-2504.04600" aria-labelledby="pdf-2504.04600">pdf</a>, <a href="https://arxiv.org/html/2504.04600v1" title="View HTML" id="html-2504.04600" aria-labelledby="html-2504.04600" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.04600" title="Other formats" id="oth-2504.04600" aria-labelledby="oth-2504.04600">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Capturing AI's Attention: Physics of Repetition, Hallucination, Bias and Beyond </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Huo,+F+Y">Frank Yingjie Huo</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Johnson,+N+F">Neil F. Johnson</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Comments welcome to neiljohnson@gwu.edu </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Artificial Intelligence (cs.AI)</span>; Other Condensed Matter (cond-mat.other); Mathematical Physics (math-ph); Adaptation and Self-Organizing Systems (nlin.AO); Physics and Society (physics.soc-ph) </div> </div> </dd> <dt> <a name='item25'>[25]</a> <a href ="/abs/2504.04596" title="Abstract" id="2504.04596"> arXiv:2504.04596 </a> [<a href="/pdf/2504.04596" title="Download PDF" id="pdf-2504.04596" aria-labelledby="pdf-2504.04596">pdf</a>, <a href="https://arxiv.org/html/2504.04596v1" title="View HTML" id="html-2504.04596" aria-labelledby="html-2504.04596" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.04596" title="Other formats" id="oth-2504.04596" aria-labelledby="oth-2504.04596">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> SECQUE: A Benchmark for Evaluating Real-World Financial Analysis Capabilities </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Yoash,+N+B">Noga Ben Yoash</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Brief,+M">Meni Brief</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Ovadia,+O">Oded Ovadia</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Shenderovitz,+G">Gil Shenderovitz</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Mishaeli,+M">Moshik Mishaeli</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Lemberg,+R">Rachel Lemberg</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Sheetrit,+E">Eitam Sheetrit</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Benchmark available at: <a href="https://huggingface.co/datasets/nogabenyoash/SecQue" rel="external noopener nofollow" class="link-external link-https">this https URL</a> </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Artificial Intelligence (cs.AI)</span>; Computational Engineering, Finance, and Science (cs.CE); Computation and Language (cs.CL) </div> </div> </dd> <dt> <a name='item26'>[26]</a> <a href ="/abs/2504.04578" title="Abstract" id="2504.04578"> arXiv:2504.04578 </a> [<a href="/pdf/2504.04578" title="Download PDF" id="pdf-2504.04578" aria-labelledby="pdf-2504.04578">pdf</a>, <a href="/format/2504.04578" title="Other formats" id="oth-2504.04578" aria-labelledby="oth-2504.04578">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Hierarchical Planning for Complex Tasks with Knowledge Graph-RAG and Symbolic Verification </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Cornelio,+C">Cristina Cornelio</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Petruzzellis,+F">Flavio Petruzzellis</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Lio,+P">Pietro Lio</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Artificial Intelligence (cs.AI)</span>; Machine Learning (cs.LG); Robotics (cs.RO) </div> </div> </dd> <dt> <a name='item27'>[27]</a> <a href ="/abs/2504.04430" title="Abstract" id="2504.04430"> arXiv:2504.04430 </a> [<a href="/pdf/2504.04430" title="Download PDF" id="pdf-2504.04430" aria-labelledby="pdf-2504.04430">pdf</a>, <a href="https://arxiv.org/html/2504.04430v1" title="View HTML" id="html-2504.04430" aria-labelledby="html-2504.04430" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.04430" title="Other formats" id="oth-2504.04430" aria-labelledby="oth-2504.04430">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> AGITB: A Signal-Level Benchmark for Evaluating Artificial General Intelligence </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=%C5%A0progar,+M">Matej 艩progar</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Artificial Intelligence (cs.AI)</span> </div> </div> </dd> <dt> <a name='item28'>[28]</a> <a href ="/abs/2504.04383" title="Abstract" id="2504.04383"> arXiv:2504.04383 </a> [<a href="/pdf/2504.04383" title="Download PDF" id="pdf-2504.04383" aria-labelledby="pdf-2504.04383">pdf</a>, <a href="https://arxiv.org/html/2504.04383v1" title="View HTML" id="html-2504.04383" aria-labelledby="html-2504.04383" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.04383" title="Other formats" id="oth-2504.04383" aria-labelledby="oth-2504.04383">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Retro-Search: Exploring Untaken Paths for Deeper and Efficient Reasoning </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Lu,+X">Ximing Lu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Han,+S">Seungju Han</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Acuna,+D">David Acuna</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Kim,+H">Hyunwoo Kim</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Jung,+J">Jaehun Jung</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Prabhumoye,+S">Shrimai Prabhumoye</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Muennighoff,+N">Niklas Muennighoff</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Patwary,+M">Mostofa Patwary</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Shoeybi,+M">Mohammad Shoeybi</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Catanzaro,+B">Bryan Catanzaro</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Choi,+Y">Yejin Choi</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Code and data will be publicly released upon internal approval </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Artificial Intelligence (cs.AI)</span>; Computation and Language (cs.CL); Machine Learning (cs.LG) </div> </div> </dd> <dt> <a name='item29'>[29]</a> <a href ="/abs/2504.04366" title="Abstract" id="2504.04366"> arXiv:2504.04366 </a> [<a href="/pdf/2504.04366" title="Download PDF" id="pdf-2504.04366" aria-labelledby="pdf-2504.04366">pdf</a>, <a href="https://arxiv.org/html/2504.04366v1" title="View HTML" id="html-2504.04366" aria-labelledby="html-2504.04366" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.04366" title="Other formats" id="oth-2504.04366" aria-labelledby="oth-2504.04366">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Solving Sokoban using Hierarchical Reinforcement Learning with Landmarks </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Pastukhov,+S">Sergey Pastukhov</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 13 pages, 6 figures </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Artificial Intelligence (cs.AI)</span> </div> </div> </dd> <dt> <a name='item30'>[30]</a> <a href ="/abs/2504.04346" title="Abstract" id="2504.04346"> arXiv:2504.04346 </a> [<a href="/pdf/2504.04346" title="Download PDF" id="pdf-2504.04346" aria-labelledby="pdf-2504.04346">pdf</a>, <a href="https://arxiv.org/html/2504.04346v1" title="View HTML" id="html-2504.04346" aria-labelledby="html-2504.04346" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.04346" title="Other formats" id="oth-2504.04346" aria-labelledby="oth-2504.04346">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Crowdsourcing-Based Knowledge Graph Construction for Drug Side Effects Using Large Language Models with an Application on Semaglutide </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Duan,+Z">Zhijie Duan</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Wei,+K">Kai Wei</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Xue,+Z">Zhaoqian Xue</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=li,+L">Lingyao li</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Jin,+J">Jin Jin</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Yang,+S">Shu Yang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Zhou,+J">Jiayan Zhou</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Ma,+S">Siyuan Ma</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 16 pages, 4 figures, AMIA2025 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Artificial Intelligence (cs.AI)</span>; Social and Information Networks (cs.SI) </div> </div> </dd> <dt> <a name='item31'>[31]</a> <a href ="/abs/2504.04276" title="Abstract" id="2504.04276"> arXiv:2504.04276 </a> [<a href="/pdf/2504.04276" title="Download PDF" id="pdf-2504.04276" aria-labelledby="pdf-2504.04276">pdf</a>, <a href="https://arxiv.org/html/2504.04276v1" title="View HTML" id="html-2504.04276" aria-labelledby="html-2504.04276" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.04276" title="Other formats" id="oth-2504.04276" aria-labelledby="oth-2504.04276">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> A Comparative Study of Explainable AI Methods: Model-Agnostic vs. Model-Specific Approaches </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Devireddy,+K">Keerthi Devireddy</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Artificial Intelligence (cs.AI)</span> </div> </div> </dd> <dt> <a name='item32'>[32]</a> <a href ="/abs/2504.04262" title="Abstract" id="2504.04262"> arXiv:2504.04262 </a> [<a href="/pdf/2504.04262" title="Download PDF" id="pdf-2504.04262" aria-labelledby="pdf-2504.04262">pdf</a>, <a href="/format/2504.04262" title="Other formats" id="oth-2504.04262" aria-labelledby="oth-2504.04262">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Improving Chronic Kidney Disease Detection Efficiency: Fine Tuned CatBoost and Nature-Inspired Algorithms with Explainable AI </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Haque,+M+E">Md. Ehsanul Haque</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Islam,+S+M+J">S. M. Jahidul Islam</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Maliha,+J">Jeba Maliha</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Sumon,+M+S+H">Md. Shakhauat Hossan Sumon</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Sharmin,+R">Rumana Sharmin</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Rokoni,+S">Sakib Rokoni</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 8 page, 8 figures , conference : 14th IEEE International Conference on Communication Systems and Network Technologies (CSNT2025) </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Artificial Intelligence (cs.AI)</span> </div> </div> </dd> <dt> <a name='item33'>[33]</a> <a href ="/abs/2504.04170" title="Abstract" id="2504.04170"> arXiv:2504.04170 </a> [<a href="/pdf/2504.04170" title="Download PDF" id="pdf-2504.04170" aria-labelledby="pdf-2504.04170">pdf</a>, <a href="https://arxiv.org/html/2504.04170v1" title="View HTML" id="html-2504.04170" aria-labelledby="html-2504.04170" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.04170" title="Other formats" id="oth-2504.04170" aria-labelledby="oth-2504.04170">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Learning about the Physical World through Analytic Concepts </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Sun,+J">Jianhua Sun</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Lu,+C">Cewu Lu</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Artificial Intelligence (cs.AI)</span>; Computer Vision and Pattern Recognition (cs.CV); Robotics (cs.RO) </div> </div> </dd> <dt> <a name='item34'>[34]</a> <a href ="/abs/2504.04139" title="Abstract" id="2504.04139"> arXiv:2504.04139 </a> [<a href="/pdf/2504.04139" title="Download PDF" id="pdf-2504.04139" aria-labelledby="pdf-2504.04139">pdf</a>, <a href="https://arxiv.org/html/2504.04139v1" title="View HTML" id="html-2504.04139" aria-labelledby="html-2504.04139" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.04139" title="Other formats" id="oth-2504.04139" aria-labelledby="oth-2504.04139">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Introducing COGENT3: An AI Architecture for Emergent Cognition </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Salazar,+E">Eduardo Salazar</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Artificial Intelligence (cs.AI)</span> </div> </div> </dd> <dt> <a name='item35'>[35]</a> <a href ="/abs/2504.04128" title="Abstract" id="2504.04128"> arXiv:2504.04128 </a> [<a href="/pdf/2504.04128" title="Download PDF" id="pdf-2504.04128" aria-labelledby="pdf-2504.04128">pdf</a>, <a href="https://arxiv.org/html/2504.04128v1" title="View HTML" id="html-2504.04128" aria-labelledby="html-2504.04128" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.04128" title="Other formats" id="oth-2504.04128" aria-labelledby="oth-2504.04128">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Guaranteeing consistency in evidence fusion: A novel perspective on credibility </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Ma,+C">Chaoxiong Ma</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Liang,+Y">Yan Liang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Zhang,+H">Huixia Zhang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Sun,+H">Hao Sun</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 29 pages, 10 figures </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Artificial Intelligence (cs.AI)</span> </div> </div> </dd> <dt> <a name='item36'>[36]</a> <a href ="/abs/2504.04121" title="Abstract" id="2504.04121"> arXiv:2504.04121 </a> [<a href="/pdf/2504.04121" title="Download PDF" id="pdf-2504.04121" aria-labelledby="pdf-2504.04121">pdf</a>, <a href="/format/2504.04121" title="Other formats" id="oth-2504.04121" aria-labelledby="oth-2504.04121">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Improving Question Embeddings with Cognitiv Representation Optimization for Knowledge Tracing </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Xu,+L">Lixiang Xu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Ding,+X">Xianwei Ding</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Yuan,+X">Xin Yuan</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Wang,+Z">Zhanlong Wang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Bai,+L">Lu Bai</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Chen,+E">Enhong Chen</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Yu,+P+S">Philip S. Yu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Tang,+Y">Yuanyan Tang</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Artificial Intelligence (cs.AI)</span> </div> </div> </dd> <dt> <a name='item37'>[37]</a> <a href ="/abs/2504.04110" title="Abstract" id="2504.04110"> arXiv:2504.04110 </a> [<a href="/pdf/2504.04110" title="Download PDF" id="pdf-2504.04110" aria-labelledby="pdf-2504.04110">pdf</a>, <a href="https://arxiv.org/html/2504.04110v1" title="View HTML" id="html-2504.04110" aria-labelledby="html-2504.04110" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.04110" title="Other formats" id="oth-2504.04110" aria-labelledby="oth-2504.04110">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> PEIRCE: Unifying Material and Formal Reasoning via LLM-Driven Neuro-Symbolic Refinement </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Quan,+X">Xin Quan</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Valentino,+M">Marco Valentino</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Carvalho,+D+S">Danilo S. Carvalho</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Dalal,+D">Dhairya Dalal</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Freitas,+A">Andr茅 Freitas</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Demo paper. Work in progress </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Artificial Intelligence (cs.AI)</span>; Computation and Language (cs.CL) </div> </div> </dd> <dt> <a name='item38'>[38]</a> <a href ="/abs/2504.04089" title="Abstract" id="2504.04089"> arXiv:2504.04089 </a> [<a href="/pdf/2504.04089" title="Download PDF" id="pdf-2504.04089" aria-labelledby="pdf-2504.04089">pdf</a>, <a href="/format/2504.04089" title="Other formats" id="oth-2504.04089" aria-labelledby="oth-2504.04089">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Lifting Factor Graphs with Some Unknown Factors for New Individuals </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Luttermann,+M">Malte Luttermann</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=M%C3%B6ller,+R">Ralf M枚ller</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Gehrke,+M">Marcel Gehrke</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Accepted to the International Journal of Approximate Reasoning, Volume 179 (2025). This paper is a revised and extended version of <a href="https://arxiv.org/abs/2406.01275" data-arxiv-id="2406.01275" class="link-https">arXiv:2406.01275</a> </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Artificial Intelligence (cs.AI)</span>; Machine Learning (cs.LG) </div> </div> </dd> <dt> <a name='item39'>[39]</a> <a href ="/abs/2504.04086" title="Abstract" id="2504.04086"> arXiv:2504.04086 </a> [<a href="/pdf/2504.04086" title="Download PDF" id="pdf-2504.04086" aria-labelledby="pdf-2504.04086">pdf</a>, <a href="https://arxiv.org/html/2504.04086v1" title="View HTML" id="html-2504.04086" aria-labelledby="html-2504.04086" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.04086" title="Other formats" id="oth-2504.04086" aria-labelledby="oth-2504.04086">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Towards An Efficient and Effective En Route Travel Time Estimation Framework </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Shen,+Z">Zekai Shen</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Yuan,+H">Haitao Yuan</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Mao,+X">Xiaowei Mao</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Lv,+C">Congkang Lv</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Guo,+S">Shengnan Guo</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Lin,+Y">Youfang Lin</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Wan,+H">Huaiyu Wan</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Accepted by DASFAA 2025 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Artificial Intelligence (cs.AI)</span> </div> </div> </dd> <dt> <a name='item40'>[40]</a> <a href ="/abs/2504.04072" title="Abstract" id="2504.04072"> arXiv:2504.04072 </a> [<a href="/pdf/2504.04072" title="Download PDF" id="pdf-2504.04072" aria-labelledby="pdf-2504.04072">pdf</a>, <a href="https://arxiv.org/html/2504.04072v1" title="View HTML" id="html-2504.04072" aria-labelledby="html-2504.04072" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.04072" title="Other formats" id="oth-2504.04072" aria-labelledby="oth-2504.04072">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Among Us: A Sandbox for Agentic Deception </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Golechha,+S">Satvik Golechha</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Garriga-Alonso,+A">Adri脿 Garriga-Alonso</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 17 pages, preprint </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Artificial Intelligence (cs.AI)</span>; Machine Learning (cs.LG) </div> </div> </dd> <dt> <a name='item41'>[41]</a> <a href ="/abs/2504.04040" title="Abstract" id="2504.04040"> arXiv:2504.04040 </a> [<a href="/pdf/2504.04040" title="Download PDF" id="pdf-2504.04040" aria-labelledby="pdf-2504.04040">pdf</a>, <a href="https://arxiv.org/html/2504.04040v1" title="View HTML" id="html-2504.04040" aria-labelledby="html-2504.04040" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.04040" title="Other formats" id="oth-2504.04040" aria-labelledby="oth-2504.04040">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> ADAPT: Actively Discovering and Adapting to Preferences for any Task </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Patel,+M">Maithili Patel</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Puig,+X">Xavier Puig</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Desai,+R">Ruta Desai</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Mottaghi,+R">Roozbeh Mottaghi</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Chernova,+S">Sonia Chernova</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Truong,+J">Joanne Truong</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Rai,+A">Akshara Rai</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Artificial Intelligence (cs.AI)</span>; Robotics (cs.RO) </div> </div> </dd> <dt> <a name='item42'>[42]</a> <a href ="/abs/2504.03961" title="Abstract" id="2504.03961"> arXiv:2504.03961 </a> [<a href="/pdf/2504.03961" title="Download PDF" id="pdf-2504.03961" aria-labelledby="pdf-2504.03961">pdf</a>, <a href="https://arxiv.org/html/2504.03961v1" title="View HTML" id="html-2504.03961" aria-labelledby="html-2504.03961" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.03961" title="Other formats" id="oth-2504.03961" aria-labelledby="oth-2504.03961">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Optimizing UAV Aerial Base Station Flights Using DRL-based Proximal Policy Optimization </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Ibanez,+M+R">Mario Rico Ibanez</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Akhtarshenas,+A">Azim Akhtarshenas</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Lopez-Perez,+D">David Lopez-Perez</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Geraci,+G">Giovanni Geraci</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Artificial Intelligence (cs.AI)</span>; Signal Processing (eess.SP) </div> </div> </dd> <dt> <a name='item43'>[43]</a> <a href ="/abs/2504.03930" title="Abstract" id="2504.03930"> arXiv:2504.03930 </a> [<a href="/pdf/2504.03930" title="Download PDF" id="pdf-2504.03930" aria-labelledby="pdf-2504.03930">pdf</a>, <a href="https://arxiv.org/html/2504.03930v1" title="View HTML" id="html-2504.03930" aria-labelledby="html-2504.03930" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.03930" title="Other formats" id="oth-2504.03930" aria-labelledby="oth-2504.03930">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Have Large Language Models Learned to Reason? A Characterization via 3-SAT Phase Transition </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Hazra,+R">Rishi Hazra</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Venturato,+G">Gabriele Venturato</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Martires,+P+Z+D">Pedro Zuidberg Dos Martires</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=De+Raedt,+L">Luc De Raedt</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> An updated version of <a href="https://arxiv.org/abs/2408.07215v2" data-arxiv-id="2408.07215v2" class="link-https">arXiv:2408.07215v2</a>, featuring: (1) inclusion of recent LRMs and recent LLMs, (2) revised conclusions reflecting recent developments, and (3) updated analysis </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Artificial Intelligence (cs.AI)</span>; Computational Complexity (cs.CC); Machine Learning (cs.LG) </div> </div> </dd> <dt> <a name='item44'>[44]</a> <a href ="/abs/2504.03861" title="Abstract" id="2504.03861"> arXiv:2504.03861 </a> [<a href="/pdf/2504.03861" title="Download PDF" id="pdf-2504.03861" aria-labelledby="pdf-2504.03861">pdf</a>, <a href="https://arxiv.org/html/2504.03861v1" title="View HTML" id="html-2504.03861" aria-labelledby="html-2504.03861" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.03861" title="Other formats" id="oth-2504.03861" aria-labelledby="oth-2504.03861">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Improving World Models using Deep Supervision with Linear Probes </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Zahorodnii,+A">Andrii Zahorodnii</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> ICLR 2025 Workshop on World Models </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Artificial Intelligence (cs.AI)</span>; Machine Learning (cs.LG) </div> </div> </dd> <dt> <a name='item45'>[45]</a> <a href ="/abs/2504.03810" title="Abstract" id="2504.03810"> arXiv:2504.03810 </a> [<a href="/pdf/2504.03810" title="Download PDF" id="pdf-2504.03810" aria-labelledby="pdf-2504.03810">pdf</a>, <a href="https://arxiv.org/html/2504.03810v1" title="View HTML" id="html-2504.03810" aria-labelledby="html-2504.03810" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.03810" title="Other formats" id="oth-2504.03810" aria-labelledby="oth-2504.03810">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Hierarchically Encapsulated Representation for Protocol Design in Self-Driving Labs </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Shi,+Y">Yu-Zhe Shi</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Liu,+M">Mingchen Liu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Meng,+F">Fanxu Meng</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Xu,+Q">Qiao Xu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Bi,+Z">Zhangqian Bi</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=He,+K">Kun He</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Ruan,+L">Lecheng Ruan</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Wang,+Q">Qining Wang</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> In International Conference on Learning Representations (ICLR'25) </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Artificial Intelligence (cs.AI)</span>; Robotics (cs.RO) </div> </div> </dd> <dt> <a name='item46'>[46]</a> <a href ="/abs/2504.03771" title="Abstract" id="2504.03771"> arXiv:2504.03771 </a> [<a href="/pdf/2504.03771" title="Download PDF" id="pdf-2504.03771" aria-labelledby="pdf-2504.03771">pdf</a>, <a href="https://arxiv.org/html/2504.03771v1" title="View HTML" id="html-2504.03771" aria-labelledby="html-2504.03771" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.03771" title="Other formats" id="oth-2504.03771" aria-labelledby="oth-2504.03771">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Flow State: Humans Enabling AI Systems to Program Themselves </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Zhang,+H">Helena Zhang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Haskell,+J">Jakobi Haskell</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Frost,+Y">Yosef Frost</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 25 pages, 4 figures, 5 tables. Describes a minimalist framework for human-AI co-design of compound AI systems </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Artificial Intelligence (cs.AI)</span> </div> </div> </dd> <dt> <a name='item47'>[47]</a> <a href ="/abs/2504.03731" title="Abstract" id="2504.03731"> arXiv:2504.03731 </a> [<a href="/pdf/2504.03731" title="Download PDF" id="pdf-2504.03731" aria-labelledby="pdf-2504.03731">pdf</a>, <a href="https://arxiv.org/html/2504.03731v1" title="View HTML" id="html-2504.03731" aria-labelledby="html-2504.03731" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.03731" title="Other formats" id="oth-2504.03731" aria-labelledby="oth-2504.03731">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> A Benchmark for Scalable Oversight Protocols </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Sudhir,+A+P">Abhimanyu Pallavi Sudhir</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Kaunismaa,+J">Jackson Kaunismaa</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Panickssery,+A">Arjun Panickssery</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Accepted at the ICLR 2025 Workshop on Bidirectional Human-AI Alignment (BiAlign) </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Artificial Intelligence (cs.AI)</span> </div> </div> </dd> <dt> <a name='item48'>[48]</a> <a href ="/abs/2504.03729" title="Abstract" id="2504.03729"> arXiv:2504.03729 </a> [<a href="/pdf/2504.03729" title="Download PDF" id="pdf-2504.03729" aria-labelledby="pdf-2504.03729">pdf</a>, <a href="/format/2504.03729" title="Other formats" id="oth-2504.03729" aria-labelledby="oth-2504.03729">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> A Scalable Predictive Modelling Approach to Identifying Duplicate Adverse Event Reports for Drugs and Vaccines </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Barrett,+J+W">Jim W. Barrett</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Erlanson,+N">Nils Erlanson</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=China,+J+F">Joana F茅lix China</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Nor%C3%A9n,+G+N">G. Niklas Nor茅n</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 26 pages, 11 figures </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Artificial Intelligence (cs.AI)</span>; Machine Learning (cs.LG) </div> </div> </dd> <dt> <a name='item49'>[49]</a> <a href ="/abs/2504.03720" title="Abstract" id="2504.03720"> arXiv:2504.03720 </a> [<a href="/pdf/2504.03720" title="Download PDF" id="pdf-2504.03720" aria-labelledby="pdf-2504.03720">pdf</a>, <a href="https://arxiv.org/html/2504.03720v1" title="View HTML" id="html-2504.03720" aria-labelledby="html-2504.03720" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.03720" title="Other formats" id="oth-2504.03720" aria-labelledby="oth-2504.03720">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> TransNet: Transfer Knowledge for Few-shot Knowledge Graph Completion </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Liu,+L">Lihui Liu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Wang,+Z">Zihao Wang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Zhou,+D">Dawei Zhou</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Wang,+R">Ruijie Wang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Yan,+Y">Yuchen Yan</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Xiong,+B">Bo Xiong</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=He,+S">Sihong He</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Shu,+K">Kai Shu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Tong,+H">Hanghang Tong</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Artificial Intelligence (cs.AI)</span>; Machine Learning (cs.LG) </div> </div> </dd> <dt> <a name='item50'>[50]</a> <a href ="/abs/2504.03699" title="Abstract" id="2504.03699"> arXiv:2504.03699 </a> [<a href="/pdf/2504.03699" title="Download PDF" id="pdf-2504.03699" aria-labelledby="pdf-2504.03699">pdf</a>, <a href="https://arxiv.org/html/2504.03699v1" title="View HTML" id="html-2504.03699" aria-labelledby="html-2504.03699" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2504.03699" title="Other formats" id="oth-2504.03699" aria-labelledby="oth-2504.03699">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Reinforcing Clinical Decision Support through Multi-Agent Systems and Ethical AI Governance </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Chen,+Y">Ying-Jung Chen</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Chen,+C">Chi-Sheng Chen</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Albarqawi,+A">Ahmad Albarqawi</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Artificial Intelligence (cs.AI)</span>; Computers and Society (cs.CY); Machine Learning (cs.LG); Multiagent Systems (cs.MA); Quantitative Methods (q-bio.QM) </div> </div> </dd> </dl> <div class='paging'>Total of 756 entries : <span>1-50</span> <a href=/list/cs.AI/recent?skip=50&show=50>51-100</a> <a href=/list/cs.AI/recent?skip=100&show=50>101-150</a> <a href=/list/cs.AI/recent?skip=150&show=50>151-200</a> <span>...</span> <a href=/list/cs.AI/recent?skip=750&show=50>751-756</a> </div> <div class='morefewer'>Showing up to 50 entries per page: <a href=/list/cs.AI/recent?skip=0&show=25 rel="nofollow"> fewer</a> | <a href=/list/cs.AI/recent?skip=0&show=100 rel="nofollow"> more</a> | <a href=/list/cs.AI/recent?skip=0&show=2000 rel="nofollow"> all</a> </div> </div> </div> </div> </main> <footer style="clear: both;"> <div class="columns is-desktop" role="navigation" aria-label="Secondary" style="margin: -0.75em -0.75em 0.75em -0.75em"> <!-- Macro-Column 1 --> <div class="column" style="padding: 0;"> <div class="columns"> <div class="column"> <ul style="list-style: none; 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