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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6,601 to 6,660 of 15,328

  1. Swin Meets EfficientNet: Lightweight Architectures for GAN-Based Face Forensics

    Sejuti Basu, Ashima Sood, Vijay Kumar +1

    cs.CVcs.AIarXiv:2609.01749v12026
  2. Designing Proactive Thought Partners for Writing

    Chao Zhang, Abe Davis, Chih-Wei Chen +1

    cs.HCcs.AIcs.CLarXiv:2609.01588v12026
  3. The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity

    Parshin Shojaee, Iman Mirzadeh, Keivan Alizadeh +3

    cs.AIcs.CLcs.LGarXiv:2506.06941v32025
  4. MathArena: Evaluating LLMs on Uncontaminated Math Competitions

    Mislav Balunović, Jasper Dekoninck, Ivo Petrov +2

    cs.AIcs.CLarXiv:2505.23281v32025
  5. "Help Me Help the AI": Understanding How Explainability Can Support Human-AI Interaction

    Sunnie S. Y. Kim, Elizabeth Anne Watkins, Olga Russakovsky +2

    cs.HCcs.AIcs.CVarXiv:2210.03735v22022
  6. Are We There Yet? Assessing Computer-Use Agents for Blind Users' Accessible Interaction with Desktop Applications

    Satwik Ram Kodandaram, Monalika Padma Reddy, Xiaojun Bi +3

    cs.HCcs.AIarXiv:2609.00524v12026
  7. L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning

    Pranjal Aggarwal, Sean Welleck

    cs.CLcs.AIcs.LGarXiv:2503.04697v22025
  8. Memory in the Age of AI Agents

    Yuyang Hu, Shichun Liu, Yanwei Yue +44

    cs.CLcs.AIarXiv:2512.13564v22025
  9. DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

    Z. Z. Ren, Zhihong Shao, Junxiao Song +15

    cs.CLcs.AIarXiv:2504.21801v22025
  10. Agent Laboratory: Using LLM Agents as Research Assistants

    Samuel Schmidgall, Yusheng Su, Ze Wang +7

    cs.HCcs.AIcs.CLarXiv:2501.04227v22025
  11. X-VLA: Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model

    Jinliang Zheng, Jianxiong Li, Zhihao Wang +12

    cs.ROcs.AIcs.CVarXiv:2510.10274v12025
  12. LEAP: Likelihood Elicitation and Aggregation for LLM-based Probabilistic Forecasting

    Yufei Chen, Yiran Zhao, Xiaogang Xu +3

    cs.AIarXiv:2609.01337v12026
  13. GLM-4.5V and GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning

    GLM-V Team, :, Wenyi Hong +91

    cs.CVcs.AIcs.LGarXiv:2507.01006v62025
  14. Multi-Agent Collaboration Mechanisms: A Survey of LLMs

    Khanh-Tung Tran, Dung Dao, Minh-Duong Nguyen +3

    cs.AIarXiv:2501.06322v12025
  15. The Regretful Agent: Heuristic-Aided Navigation through Progress Estimation

    Chih-Yao Ma, Zuxuan Wu, Ghassan AlRegib +2

    cs.AIcs.CVcs.ROarXiv:1903.01602v12019
  16. QCell: Recombining and Aligning Cell Queries for Overlapping Instance Segmentation

    Yaroslav Prytula, Anton Popov, Dmytro Fishman

    cs.CVcs.AIcs.LGarXiv:2608.29253v12026
  17. Muon is Scalable for LLM Training

    Jingyuan Liu, Jianlin Su, Xingcheng Yao +25

    cs.LGcs.AIcs.CLarXiv:2502.16982v12025
  18. The Lessons of Developing Process Reward Models in Mathematical Reasoning

    Zhenru Zhang, Chujie Zheng, Yangzhen Wu +6

    cs.CLcs.AIcs.LGarXiv:2501.07301v22025
  19. Search-o1: Agentic Search-Enhanced Large Reasoning Models

    Xiaoxi Li, Guanting Dong, Jiajie Jin +5

    cs.AIcs.CLcs.IRarXiv:2501.05366v12025
  20. Deep Probabilistic Programming

    Dustin Tran, Matthew D. Hoffman, Rif A. Saurous +3

    stat.MLcs.AIcs.LGarXiv:1701.03757v22017
  21. Contrastive Learning for Label-Efficient Semantic Segmentation

    Xiangyun Zhao, Raviteja Vemulapalli, Philip Mansfield +4

    cs.CVcs.AIcs.LGarXiv:2012.06985v42020
  22. Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models

    Qizheng Zhang, Changran Hu, Shubhangi Upasani +10

    cs.LGcs.AIcs.CLarXiv:2510.04618v32025
  23. Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models

    Marianne Arriola, Aaron Gokaslan, Justin T. Chiu +5

    cs.LGcs.AIarXiv:2503.09573v32025
  24. Who Should I Trust: AI or Myself? Leveraging Human and AI Correctness Likelihood to Promote Appropriate Trust in AI-Assisted Decision-Making

    Shuai Ma, Ying Lei, Xinru Wang +4

    cs.HCcs.AIcs.LGarXiv:2301.05809v12023
  25. Process Reinforcement through Implicit Rewards

    Ganqu Cui, Lifan Yuan, Zefan Wang +22

    cs.LGcs.AIcs.CLarXiv:2502.01456v22025
  26. Modeling Human Motion with Quaternion-based Neural Networks

    Dario Pavllo, Christoph Feichtenhofer, Michael Auli +1

    cs.CVcs.AIcs.ROarXiv:1901.07677v22019
  27. From Reweighting to Rewriting: Unlocking the Intervention Effects of Influential Samples in Training Data Attribution

    Yuzhang Luo, Chenpeng Wang, Jianhui Chen +1

    cs.CLcs.AIcs.LGarXiv:2609.02771v12026
  28. Coverage, Not Targeting: A Structural Regime in Multi-Turn Agent Credit Assignment

    Chenyu Zhou, Qiliang Jiang, Shuning Wu +1

    cs.LGcs.AIarXiv:2609.02417v12026
  29. Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language Models

    Paul Röttger, Valentin Hofmann, Valentina Pyatkin +4

    cs.CLcs.AIarXiv:2402.16786v22024
  30. DeepSeek-Prover-V1.5: Harnessing Proof Assistant Feedback for Reinforcement Learning and Monte-Carlo Tree Search

    Huajian Xin, Z. Z. Ren, Junxiao Song +14

    cs.CLcs.AIcs.LGarXiv:2408.08152v12024
  31. A Network Science Perspective on Evaluating Deep Graph Generative Models

    Tianrui Mao, Abele Malan, Megha Khosla +2

    cs.SIcs.AIarXiv:2609.01015v12026
  32. Dyna-Style Planning with Linear Function Approximation and Prioritized Sweeping

    Richard S. Sutton, Csaba Szepesvari, Alborz Geramifard +1

    cs.AIcs.LGeess.SYarXiv:1206.3285v12012
  33. What Is Worth Representing? Representational Empowerment for Continual Model Construction

    Fei Dai, Hanqi Zhou, Alison Gopnik +1

    cs.LGcs.AIarXiv:2609.02322v12026
  34. Meta-DETR: Image-Level Few-Shot Detection with Inter-Class Correlation Exploitation

    Gongjie Zhang, Zhipeng Luo, Kaiwen Cui +2

    cs.CVcs.AIcs.LGarXiv:2208.00219v12022
  35. VakyArth: Evaluating Pragmatic Competence in LLMs across Indic Languages

    Usneek Singh, Poorvaja Veera Balaji Kumar, Parth Nanda +4

    cs.CLcs.AIarXiv:2609.01788v12026
  36. Semi-Supervised Virtual Staining via Morphology Preservation and Histopathological Realism Constraints

    Baoshun Wang, Weiping Lin, Linwu Wang +3

    cs.CVcs.AIarXiv:2609.00984v12026
  37. Deep Neural Networks for Multiple Speaker Detection and Localization

    Weipeng He, Petr Motlicek, Jean-Marc Odobez

    cs.SDcs.AIcs.MMarXiv:1711.11565v32017
  38. NE-R1: Enhancing Named Entity Recognition Model via Reinforcement Learning

    Meixuan Chen, Hehan Li, Ruizhi Zhao +8

    cs.CLcs.AIarXiv:2609.02366v12026
  39. SAM 3D: 3Dfy Anything in Images

    SAM 3D Team, Xingyu Chen, Fu-Jen Chu +20

    cs.CVcs.AIarXiv:2511.16624v22025
  40. Learn from Whoever Is Right: Answer-Verified Multi-Teacher Distillation for Multi-Domain LLMs

    Xixiang He, Xingming Li, Baiqi Wu +4

    cs.LGcs.AIarXiv:2609.02548v12026
  41. Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention

    Jingyang Yuan, Huazuo Gao, Damai Dai +12

    cs.CLcs.AIcs.LGarXiv:2502.11089v22025
  42. LHRS-Bot: Empowering Remote Sensing with VGI-Enhanced Large Multimodal Language Model

    Dilxat Muhtar, Zhenshi Li, Feng Gu +2

    cs.CVcs.AIcs.LGarXiv:2402.02544v42024
  43. Multi-class Classification without Multi-class Labels

    Yen-Chang Hsu, Zhaoyang Lv, Joel Schlosser +2

    cs.LGcs.AIcs.CVarXiv:1901.00544v12019
  44. Future progress in artificial intelligence: A survey of expert opinion

    Vincent C. Müller, Nick Bostrom

    cs.CYcs.AIarXiv:2508.11681v12025
  45. Fine-Grained Anomaly Perception in Wild UGC-Enhanced Images: A Comprehensive Dataset and Difference-Fusion Framework

    Yan Zhong, Gefei Chen, Qiufang Ma +4

    cs.CVcs.AIarXiv:2609.02529v12026
  46. Spectral Initialization and Scheduled Graph Smoothness for Uncertain Knowledge Graph Completion

    Md Abrar Jahin, Taufikur Rahman Fuad, Jay Pujara +1

    cs.LGcs.AIarXiv:2609.02519v12026
  47. Automated Concatenation of Embeddings for Structured Prediction

    Xinyu Wang, Yong Jiang, Nguyen Bach +4

    cs.CLcs.AIcs.LGarXiv:2010.05006v42020
  48. BLIP3-o: A Family of Fully Open Unified Multimodal Models-Architecture, Training and Dataset

    Jiuhai Chen, Zhiyang Xu, Xichen Pan +10

    cs.CVcs.AIarXiv:2505.09568v12025
  49. ReTool: Reinforcement Learning for Strategic Tool Use in LLMs

    Jiazhan Feng, Shijue Huang, Xingwei Qu +6

    cs.CLcs.AIarXiv:2504.11536v22025
  50. Reasoning Models Don't Always Say What They Think

    Yanda Chen, Joe Benton, Ansh Radhakrishnan +12

    cs.CLcs.AIcs.LGarXiv:2505.05410v12025
  51. Kimi K2: Open Agentic Intelligence

    Kimi Team, Yifan Bai, Yiping Bao +197

    cs.LGcs.AIcs.CLarXiv:2507.20534v22025
  52. Getting aligned on representational alignment

    Ilia Sucholutsky, Lukas Muttenthaler, Adrian Weller +30

    q-bio.NCcs.AIcs.LGarXiv:2310.13018v32023
  53. Scalable Kronecker-Fisher Approximation: Efficient Hessian Analysis for Billion-Parameter Language Models Compression

    Viacheslav Yusupov, Daria Cherniuk, Evgeny Frolov

    cs.LGcs.AIcs.CLarXiv:2609.02451v12026
  54. AI Agents vs. Agentic AI: A Conceptual Taxonomy, Applications and Challenges

    Ranjan Sapkota, Konstantinos I. Roumeliotis, Manoj Karkee

    cs.AIarXiv:2505.10468v52025
  55. CoT-VLA: Visual Chain-of-Thought Reasoning for Vision-Language-Action Models

    Qingqing Zhao, Yao Lu, Moo Jin Kim +12

    cs.CVcs.AIcs.LGarXiv:2503.22020v12025
  56. How AI Prompts Can Teach Us About the Structure of Human Behavior

    Matthew O. Jackson, Benjamin S. Manning, Yutong Xie +2

    econ.THcs.AIarXiv:2608.18265v12026
  57. FLARE MCMC: Fidelity-based Layer-Adaptive REcursive proposals for MCMC

    Harini Venkatesan, Christian Shelton, Ming-Feng Ho +2

    cs.AIarXiv:2608.13774v12026
  58. Emergence of Invariance and Disentanglement in Deep Representations

    Alessandro Achille, Stefano Soatto

    cs.LGcs.AIstat.MLarXiv:1706.01350v32017
  59. Doubly Robust Policy Evaluation and Optimization

    Miroslav Dudík, Dumitru Erhan, John Langford +1

    stat.MEcs.AIarXiv:1503.02834v12015
  60. On the definition of a confounder

    Tyler J. VanderWeele, Ilya Shpitser

    stat.MEcs.AIarXiv:1304.0564v12013