Artificial Intelligence
Papers filed under cs.AI on arXiv, each one already summarized by Paperlayer. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.
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21,061 to 21,120 of 27,557
ProgramDistill: From Interactive Web Apps to Verifiable Reference-Guided SWE Tasks
Jeonghye Kim, Minseon Kim, Young Jin Kim +5
cs.SEcs.AIarXiv:2609.18805v12026Table-to-text Generation by Structure-aware Seq2seq Learning
Tianyu Liu, Kexiang Wang, Lei Sha +2
cs.CLcs.AIarXiv:1711.09724v12017Stochastic Parameter Decomposition
Lucius Bushnaq, Dan Braun, Lee Sharkey
cs.LGcs.AIarXiv:2506.20790v22025Kimi K2.5: Visual Agentic Intelligence
Kimi Team, Tongtong Bai, Yifan Bai +334
cs.CLcs.AIcs.LGarXiv:2602.02276v22026Summaries:한국어Unified Branch-and-Bound Search for the Steiner Traveling Salesman Problem on Graphs of Convex Sets
Jingtao Tang, Hang Ma
cs.AIcs.ROarXiv:2608.21319v12026Challenges of Real-World Reinforcement Learning
Gabriel Dulac-Arnold, Daniel Mankowitz, Todd Hester
cs.LGcs.AIcs.ROarXiv:1904.12901v12019On the Fallacy of Global Token Perplexity in Spoken Language Model Evaluation
Chan-Jan Hsu, Liang-Hsuan Tseng, Yi-Cheng Lin +5
cs.CLcs.AIarXiv:2601.06329v22026Who Is Behind the Harness? Fingerprinting LLMs through Agentic Behavior
Chuyi Wang, Xiaohui Xie, Tongze Wang +2
cs.CRcs.AIcs.SEarXiv:2609.28559v12026Decentralized Optimal Equilibrium Learning Over Dynamic Networks
Seref Taha Kiremitci, Muhammed O. Sayin
cs.GTcs.AIcs.LGarXiv:2609.17601v12026MRAG-Bench: Vision-Centric Evaluation for Retrieval-Augmented Multimodal Models
Wenbo Hu, Jia-Chen Gu, Zi-Yi Dou +4
cs.CVcs.AIcs.CLarXiv:2410.08182v22024Persona Features Control Emergent Misalignment
Miles Wang, Tom Dupré la Tour, Olivia Watkins +8
cs.LGcs.AIarXiv:2506.19823v22025Kiwi-Edit: Versatile Video Editing via Instruction and Reference Guidance
Yiqi Lin, Guoqiang Liang, Ziyun Zeng +3
cs.CVcs.AIarXiv:2603.02175v42026GrepSeek: Training Search Agents for Direct Corpus Interaction
Alireza Salemi, Chang Zeng, Atharva Nijasure +4
cs.CLcs.AIcs.IRarXiv:2605.29307v12026VAIN: Attentional Multi-agent Predictive Modeling
Yedid Hoshen
cs.LGcs.AIarXiv:1706.06122v22017Managing Action Preconditions in Neuro-Symbolic RL: Three Placement Strategies for Embodied Agents
Norbert Oswald, Fabian Deuser, Thomas Bräunl
cs.LGcs.AIarXiv:2609.16056v12026State of Thought Enables Endogenous Reasoning
Zhiren Gong, Yikun Hou, Zihao Zeng +3
cs.CLcs.AIarXiv:2609.16055v22026Among Us: A Sandbox for Measuring and Detecting Agentic Deception
Satvik Golechha, Adrià Garriga-Alonso
cs.AIcs.LGarXiv:2504.04072v32025Pistis Technical Report
Heyun Chen, Xiaohan Lan, Jiaxi Li +17
cs.AIcs.CVarXiv:2609.28554v12026Data-Efficient Autoregressive Document Retrieval for Fact Verification
James Thorne
cs.CLcs.AIcs.IRarXiv:2211.09388v12022ToMBench: Benchmarking Theory of Mind in Large Language Models
Zhuang Chen, Jincenzi Wu, Jinfeng Zhou +8
cs.CLcs.AIarXiv:2402.15052v22024LLM in a flash: Efficient Large Language Model Inference with Limited Memory
Keivan Alizadeh, Iman Mirzadeh, Dmitry Belenko +5
cs.CLcs.AIcs.LGarXiv:2312.11514v32023HalluCitation Matters: Revealing the Impact of Hallucinated References with 300 Hallucinated Papers in ACL Conferences
Yusuke Sakai, Hidetaka Kamigaito, Taro Watanabe
cs.CLcs.AIcs.DLarXiv:2601.18724v12026RAST: Reasoning Activation in LLMs via Small-model Transfer
Siru Ouyang, Xinyu Zhu, Zilin Xiao +3
cs.LGcs.AIarXiv:2506.15710v12025Parameters vs FLOPs: Scaling Laws for Optimal Sparsity for Mixture-of-Experts Language Models
Samira Abnar, Harshay Shah, Dan Busbridge +3
cs.LGcs.AIarXiv:2501.12370v32025Linear Fitness Subspace in Protein Language Models Enables Sample-Efficient Directed Evolution
SiYuan Ma, Canran Xiao, Zikai Xiao +5
q-bio.QMcs.AIcs.LGarXiv:2610.07607v12026Hints, Critics, and Teachers: Prior Injection for Sparse-Reward RL in Vision-Language Math Reasoning
Qiqian Fu
cs.AIcs.LGarXiv:2608.21811v12026Detecting AI Trojans Using Meta Neural Analysis
Xiaojun Xu, Qi Wang, Huichen Li +3
cs.AIcs.CRcs.LGarXiv:1910.03137v42019Agent Security Bench (ASB): Formalizing and Benchmarking Attacks and Defenses in LLM-based Agents
Hanrong Zhang, Jingyuan Huang, Kai Mei +5
cs.CRcs.AIarXiv:2410.02644v42024HyperTree Proof Search for Neural Theorem Proving
Guillaume Lample, Marie-Anne Lachaux, Thibaut Lavril +5
cs.CLcs.AIarXiv:2205.11491v12022Modeling Latent Disturbances for Robust Decision-Making in World Models
Junwon Seo, Andrea Bajcsy
cs.ROcs.AIcs.LGarXiv:2610.07599v12026What Users Leave Unsaid: Under-Specified Queries Limit Vision-Language Models
Dasol Choi, Guijin Son, Hanwool Lee +7
cs.CVcs.AIarXiv:2601.06165v22026Neuro-Symbolic Hierarchical Intention Anticipation in Human Behavior
Farnaz Soleimani, Abdelghani Chibani, Yacine Amirat +1
cs.AIcs.CVcs.HCarXiv:2609.17064v12026A Comprehensive Survey of Deep Research: Systems, Methodologies, and Applications
Renjun Xu, Jingwen Peng
cs.AIcs.MAarXiv:2506.12594v12025SPINAL -- Scaling-law and Preference Integration in Neural Alignment Layers
Arion Das, Partha Pratim Saha, Amit Dhanda +3
cs.LGcs.AIcs.CLarXiv:2601.06238v12026Mechanistic Interpretability of Atmospheric Rivers in GraphCast
Madelyn Mathai, Timothy B. Higgins, Kevin M. Grise +2
cs.LGcs.AIarXiv:2610.07583v12026Automated Mechanism Design via Neural Networks
Weiran Shen, Pingzhong Tang, Song Zuo
cs.AIcs.GTarXiv:1805.03382v22018Complementary Feature Domains: Information Preservation Does Not Imply Predictive-Contribution Preservation
Timothy Oladunni, Farouk Ganiyu-Adewumi
cs.LGcs.AIarXiv:2610.07565v12026Same Question, Different Source, Different Answer: Auditing Source-Dependence in Medical Multi-Source RAG
Yubo Li, Rema Padman, Ramayya Krishnan
cs.CLcs.AIcs.IRarXiv:2605.29084v12026Which and When to Admit: Gradient Admission for Data-Centric Small Language Model Finetuning
Hongyu Cao, Yanchi Liu, Kunpeng Liu +5
cs.LGcs.AIarXiv:2610.07553v12026DMAD: Distribution Matching as Adversarial Distillation for Fast Visual Generation
Zhengming Yu, Junkun Yuan, Haotian Yang +8
cs.CVcs.AIarXiv:2610.02188v12026A Novel Bi-directional Interrelated Model for Joint Intent Detection and Slot Filling
Haihong E, Peiqing Niu, Zhongfu Chen +1
cs.CLcs.AIeess.ASarXiv:1907.00390v12019Accelerating Diffusion Large Language Models with SlowFast Sampling: The Three Golden Principles
Qingyan Wei, Yaojie Zhang, Zhiyuan Liu +5
cs.CLcs.AIcs.LGarXiv:2506.10848v32025CriticBench: Benchmarking LLMs for Critique-Correct Reasoning
Zicheng Lin, Zhibin Gou, Tian Liang +3
cs.CLcs.AIcs.LGarXiv:2402.14809v42024LLMs as Oracles: Reliance on LLMs for Subjective Personal Questions
Myra Cheng, Lujain Ibrahim, Grace Liu +5
cs.CYcs.AIcs.CLarXiv:2609.14849v12026Language agents achieve superhuman synthesis of scientific knowledge
Michael D. Skarlinski, Sam Cox, Jon M. Laurent +6
cs.CLcs.AIcs.IRarXiv:2409.13740v22024Is a Good Representation Sufficient for Sample Efficient Reinforcement Learning?
Simon S. Du, Sham M. Kakade, Ruosong Wang +1
cs.LGcs.AImath.OCarXiv:1910.03016v42019Compound Deception in Elite Peer Review: A Failure Mode Taxonomy of 100 Fabricated Citations at NeurIPS 2025
Samar Ansari
cs.DLcs.AIarXiv:2602.05930v12026A Comprehensive Survey on Community Detection with Deep Learning
Xing Su, Shan Xue, Fanzhen Liu +9
cs.SIcs.AIcs.LGarXiv:2105.12584v22021Realistic Re-evaluation of Knowledge Graph Completion Methods: An Experimental Study
Farahnaz Akrami, Mohammed Samiul Saeef, Qingheng Zhang +2
cs.AIcs.CLarXiv:2003.08001v12020Frustratingly Short Attention Spans in Neural Language Modeling
Michał Daniluk, Tim Rocktäschel, Johannes Welbl +1
cs.CLcs.AIcs.LGarXiv:1702.04521v12017Retrieval-Augmented Test Generation: How Far Are We?
Jiho Shin, Nima Shiri Harzevili, Reem Aleithan +2
cs.SEcs.AIarXiv:2409.12682v22024Reward Gaming in Conditional Text Generation
Richard Yuanzhe Pang, Vishakh Padmakumar, Thibault Sellam +2
cs.CLcs.AIcs.LGarXiv:2211.08714v32022Enabling Dynamic Computation in Looped LMs
Aayush Mishra, Arnau Padrés Masdemont, Victor Conchello Vendrell +3
cs.AIarXiv:2610.09013v12026Intrinsic Test of Unlearning Using Parametric Knowledge Traces
Yihuai Hong, Lei Yu, Haiqin Yang +2
cs.CLcs.AIarXiv:2406.11614v32024When and Why LLM Causal Priors Help: Closed-Loop Prior Selection for Amortized Causal Inference
Haohao Zhou
cs.AIarXiv:2609.06941v12026TeleMath: A Benchmark for Large Language Models in Telecom Mathematical Problem Solving
Vincenzo Colle, Mohamed Sana, Nicola Piovesan +3
cs.AIcs.CLarXiv:2506.10674v12025Self-supervised Deep Reinforcement Learning with Generalized Computation Graphs for Robot Navigation
Gregory Kahn, Adam Villaflor, Bosen Ding +2
cs.LGcs.AIcs.ROarXiv:1709.10489v32017Crypto Accounting Bench: Evaluating Frontier and Open-Weight Models on Crypto-Asset Accounting Tasks
Kareem Khattab, Omar Khattab, Mohamed Ibrahem
cs.AIcs.CLarXiv:2609.14811v120263D Consistent & Robust Segmentation of Cardiac Images by Deep Learning with Spatial Propagation
Qiao Zheng, Hervé Delingette, Nicolas Duchateau +1
cs.CVcs.AIcs.LGarXiv:1804.09400v12018AI Suggestions Homogenize Writing Toward Western Styles and Diminish Cultural Nuances
Dhruv Agarwal, Mor Naaman, Aditya Vashistha
cs.HCcs.AIarXiv:2409.11360v32024