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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20,641 to 20,700 of 27,573

  1. TheoremGraph: Bridging Formal and Informal Mathematics

    Simon Kurgan, Evan Wang, Eric Leonen +6

    cs.IRcs.AImath.HOarXiv:2606.25363v12026
  2. DeepPrune: Parallel Scaling without Inter-trace Redundancy

    Shangqing Tu, Yaxuan Li, Yushi Bai +2

    cs.CLcs.AIarXiv:2510.08483v22025
  3. Search Engines in an AI Era: The False Promise of Factual and Verifiable Source-Cited Responses

    Pranav Narayanan Venkit, Philippe Laban, Yilun Zhou +2

    cs.IRcs.AIcs.CLarXiv:2410.22349v12024
  4. SPADE: Self-Play in Adaptive Synthetic Executable Environments

    Bo Liu, Simon Yu, Yiding Jiang +15

    cs.CLcs.AIarXiv:2608.19197v12026
  5. Scaling Vision Transformers

    Xiaohua Zhai, Alexander Kolesnikov, Neil Houlsby +1

    cs.CVcs.AIcs.LGarXiv:2106.04560v22021
  6. A Survey on Optical Character Recognition System

    Noman Islam, Zeeshan Islam, Nazia Noor

    cs.CVcs.AIcs.NIarXiv:1710.05703v12017
  7. CroissantMiner: Automated Extraction and Validation of Croissant Metadata for ML Datasets

    Berke Arda, Ahmetcan Yavuz, Paul Gerry +7

    cs.CLcs.AIcs.DLarXiv:2610.07132v12026
  8. A Survey on Knowledge-Oriented Retrieval-Augmented Generation

    Mingyue Cheng, Yucong Luo, Jie Ouyang +9

    cs.CLcs.AIarXiv:2503.10677v32025
  9. This human study did not involve human subjects: Validating LLM simulations as behavioral evidence

    Jessica Hullman, David Broska, Huaman Sun +1

    cs.AIarXiv:2602.15785v12026
  10. Counterfactual Story Reasoning and Generation

    Lianhui Qin, Antoine Bosselut, Ari Holtzman +3

    cs.CLcs.AIarXiv:1909.04076v22019
  11. A$^2$Search: Ambiguity-Aware Question Answering with Reinforcement Learning

    Fengji Zhang, Xinyao Niu, Chengyang Ying +7

    cs.CLcs.AIarXiv:2510.07958v12025
  12. PROOF-Gen: From Optimized Data to Better Distillation

    Anh Ta, Junjie Zhu, Shahin Shayandeh

    cs.AIcs.LGarXiv:2608.23911v12026
  13. Activation Scaling for Steering and Interpreting Language Models

    Niklas Stoehr, Kevin Du, Vésteinn Snæbjarnarson +3

    cs.CLcs.AIarXiv:2410.04962v12024
  14. Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigation

    Niels Mündler, Jingxuan He, Slobodan Jenko +1

    cs.CLcs.AIcs.LGarXiv:2305.15852v32023
  15. DepthWorld: 3D World Model for Robot Manipulation

    Jai Bardhan, Josef Sivic, Vladimir Petrik

    cs.ROcs.AIcs.CVarXiv:2610.08780v12026
  16. Prospective Hindsight: Self-Calibrating Reinforcement Learning via Prediction-Reality Gaps

    Jiaxin Zhang, Xiangyu Peng, Qinglin Chen +3

    cs.LGcs.AIarXiv:2610.02740v12026
  17. Approximate Inference Turns Deep Networks into Gaussian Processes

    Mohammad Emtiyaz Khan, Alexander Immer, Ehsan Abedi +1

    stat.MLcs.AIcs.LGarXiv:1906.01930v32019
  18. Revisiting Rainbow: Promoting more Insightful and Inclusive Deep Reinforcement Learning Research

    Johan S. Obando-Ceron, Pablo Samuel Castro

    cs.LGcs.AIarXiv:2011.14826v22020
  19. What Process Evaluation of Coding Agents Actually Measures: Action, Task, and Step Are Three Different Levels

    Jiawei He, Mengyu Shi, Jie jia +2

    cs.AIarXiv:2608.22960v12026
  20. At the Dawn of Generative AI Era: A Tutorial-cum-Survey on New Frontiers in 6G Wireless Intelligence

    Abdulkadir Celik, Ahmed M. Eltawil

    cs.NIcs.AIcs.LGarXiv:2402.18587v12024
  21. An introduction to graphical tensor notation for mechanistic interpretability

    Jordan K. Taylor

    cs.LGcs.AIarXiv:2402.01790v12024
  22. FinRCA-Bench: Benchmarking Evidence Retrieval and Reasoning for Financial AI Systems

    Pratik Ghawate

    cs.AIcs.IRarXiv:2608.18534v12026
  23. Coverage-centric Coreset Selection for High Pruning Rates

    Haizhong Zheng, Rui Liu, Fan Lai +1

    cs.LGcs.AIarXiv:2210.15809v22022
  24. LLM4Cell: A Survey of Large Language and Agentic Models for Single-Cell Biology

    Sajib Acharjee Dip, Adrika Zafor, Bikash Kumar Paul +4

    cs.CLcs.AIarXiv:2510.07793v32025
  25. Evaluating Music Context Preservation: A Multi-facet Framework for Music Editing Systems

    Yash Vishe, Eric Xue, Xunyi Jiang +4

    cs.SDcs.AIarXiv:2512.14629v22025
  26. Reward Tampering Problems and Solutions in Reinforcement Learning: A Causal Influence Diagram Perspective

    Tom Everitt, Marcus Hutter, Ramana Kumar +1

    cs.AIcs.LGarXiv:1908.04734v52019
  27. LMM-R1: Empowering 3B LMMs with Strong Reasoning Abilities Through Two-Stage Rule-Based RL

    Yingzhe Peng, Gongrui Zhang, Miaosen Zhang +7

    cs.CLcs.AIarXiv:2503.07536v22025
  28. OmniBench: Towards The Future of Universal Omni-Language Models

    Yizhi Li, Yinghao Ma, Ge Zhang +20

    cs.CLcs.AIcs.CVarXiv:2409.15272v62024
  29. ScienceWorld: Is your Agent Smarter than a 5th Grader?

    Ruoyao Wang, Peter Jansen, Marc-Alexandre Côté +1

    cs.CLcs.AIarXiv:2203.07540v22022
  30. Noisy but Valid: Robust Statistical Evaluation of LLMs with Imperfect Judges

    Chen Feng, Minghe Shen, Ananth Balashankar +2

    cs.LGcs.AIcs.CVarXiv:2601.20913v12026
  31. APEX: Large-scale Multi-task Aesthetic-Informed Popularity Prediction for AI-Generated Music

    Jaavid Aktar Husain, Dorien Herremans

    cs.SDcs.AIcs.LGarXiv:2605.03395v22026
  32. E2E-VLP: End-to-End Vision-Language Pre-training Enhanced by Visual Learning

    Haiyang Xu, Ming Yan, Chenliang Li +4

    cs.CVcs.AIcs.CLarXiv:2106.01804v22021
  33. Revisiting Visual Representation Enhancement of VLMs via Kernel Canonical Correlation Analysis

    Peilin Yang, Xiaoyu Liu, Jian Sun +1

    cs.CVcs.AIcs.LGarXiv:2610.02718v12026
  34. VCN-Bench: A Video-Contextualized Navigation Benchmark for Spatial Reasoning over Prior Visual Experience

    Siqi Zhang, Meng Wei, Chenyang Wan +6

    cs.AIarXiv:2609.34687v12026
  35. Prescriptive Scaling Reveals the Evolution of Language Model Capabilities

    Hanlin Zhang, Jikai Jin, Vasilis Syrgkanis +1

    cs.LGcs.AIcs.CLarXiv:2602.15327v22026
  36. AA-CLIP: Enhancing Zero-shot Anomaly Detection via Anomaly-Aware CLIP

    Wenxin Ma, Xu Zhang, Qingsong Yao +6

    cs.CVcs.AIarXiv:2503.06661v12025
  37. Hybrid Linear Attention Done Right: Efficient Distillation and Effective Architectures for Extremely Long Contexts

    Yingfa Chen, Zhen Leng Thai, Zihan Zhou +6

    cs.CLcs.AIcs.LGarXiv:2601.22156v12026
  38. LEXam: Benchmarking Legal Reasoning on 340 Law Exams

    Yu Fan, Jingwei Ni, Jakob Merane +14

    cs.CLcs.AIcs.LGarXiv:2505.12864v72025
  39. When Identity Skews Debate: Anonymization for Bias-Reduced Multi-Agent Reasoning

    Hyeong Kyu Choi, Xiaojin Zhu, Sharon Li

    cs.AIcs.MAarXiv:2510.07517v52025
  40. Agent0-VL: Exploring Self-Evolving Agent for Tool-Integrated Vision-Language Reasoning

    Jiaqi Liu, Kaiwen Xiong, Peng Xia +6

    cs.CVcs.AIarXiv:2511.19900v22025
  41. Lightweight, Pre-trained Transformers for Remote Sensing Timeseries

    Gabriel Tseng, Ruben Cartuyvels, Ivan Zvonkov +3

    cs.CVcs.AIarXiv:2304.14065v42023
  42. Evoflux: Inference-Time Evolution of Executable Tool Workflows for Compact Agents

    Kushal Raj Bhandari, Ling Yue, Ching-Yun Ko +4

    cs.AIarXiv:2606.12674v12026
  43. ELMUR: External Layer Memory with Update/Rewrite for Long-Horizon RL Problems

    Egor Cherepanov, Alexey K. Kovalev, Aleksandr I. Panov

    cs.LGcs.AIcs.ROarXiv:2510.07151v22025
  44. Learning What to Recall: Adaptive Multi-Cue Episodic Memory for World Models

    Beomsu Kim, Chieh-Hsin Lai, Bac Nguyen +3

    cs.LGcs.AIcs.CVarXiv:2609.34677v12026
  45. Beyond Reasoning Gains: Mitigating General-Capability Forgetting in Large Reasoning Models

    Hoang Phan, Xianjun Yang, Yuanshun Yao +6

    cs.LGcs.AIarXiv:2510.21978v22025
  46. OpenSTBench: Beyond Semantic Evaluation for Speech Translation

    Yanjie An, Yuxiang Zhao, Yichi Zhang +5

    eess.AScs.AIarXiv:2605.30792v12026
  47. nanoMuse: An Open-Source Personal Agent for Every Device You Own

    Guangyi Liu, Yong Liu, Jiangning Zhang

    cs.AIarXiv:2610.08699v12026
  48. Investigating the Limitations of Transformers with Simple Arithmetic Tasks

    Rodrigo Nogueira, Zhiying Jiang, Jimmy Lin

    cs.CLcs.AIcs.LGarXiv:2102.13019v32021
  49. Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs

    Microsoft, :, Abdelrahman Abouelenin +73

    cs.CLcs.AIcs.LGarXiv:2503.01743v22025
  50. OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models

    Fuzhao Xue, Zian Zheng, Yao Fu +4

    cs.CLcs.AIcs.DCarXiv:2402.01739v22024
    Summaries:简体中文
  51. Grouping the Stochastic Machine: Precision, Not Capability, as the Frontier Metric for AI Systems

    George Andrikopoulos

    cs.AIcs.CYcs.LGarXiv:2608.19140v12026
  52. Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning

    Yuxiao Qu, Matthew Y. R. Yang, Amrith Setlur +4

    cs.LGcs.AIcs.CLarXiv:2503.07572v12025
  53. InstructUIE: Multi-task Instruction Tuning for Unified Information Extraction

    Xiao Wang, Weikang Zhou, Can Zu +11

    cs.CLcs.AIarXiv:2304.08085v12023
  54. Mamba-based Selective State Space Modeling Improves the Accuracy-Complexity Tradeoff of SmolVLA Vision-Language-Action Experts

    Farida Mohsen, Thowayba Elkaffash, Mohammad Reza Chalak Qazani +3

    cs.ROcs.AIarXiv:2608.21407v12026
  55. Quickest Detection of Hallucination Onset: Delay Bounds and Learned CUSUM Statistics

    Igor Itkin

    cs.LGcs.AIcs.CLarXiv:2606.12476v32026
  56. Scalable Context Orchestration for Serving LLMs Over Voice

    Linyi Jiang, Silvery D. Fu, Yifei Zhu

    cs.SDcs.AIeess.ASarXiv:2609.04288v12026
  57. Where to Adapt Matters: Layer-Selective Fine-Tuning for Capability Retention

    Zhiqiang Pang, Zihong Sun, Qi Xie +3

    cs.AIarXiv:2610.11620v12026
  58. MoR: Better Handling Diverse Queries with a Mixture of Sparse, Dense, and Human Retrievers

    Jushaan Singh Kalra, Xinran Zhao, To Eun Kim +3

    cs.IRcs.AIcs.CLarXiv:2506.15862v12025
  59. VibeEdit: Image Editing with Canvas Instructions

    Jinjing Zhao, Fangyun Wei, Yitong Wang +9

    cs.CVcs.AIarXiv:2610.12229v12026
  60. Reinforcement Learning with Verifiable Rewards for Small Search Agents

    Gaurisankar Jayadas, Aske Plaat, Álvaro Serra-Gómez +1

    cs.AIcs.IRarXiv:2609.28765v12026