Computation and Language

Papers filed under cs.CL 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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16,861 to 16,920 of 18,966

  1. MathCoder-VL: Bridging Vision and Code for Enhanced Multimodal Mathematical Reasoning

    Ke Wang, Junting Pan, Linda Wei +8

    cs.CVcs.AIcs.CLarXiv:2505.10557v12025
  2. When Bad Data Leads to Good Models

    Kenneth Li, Yida Chen, Fernanda Viégas +1

    cs.LGcs.AIcs.CLarXiv:2505.04741v12025
    Summaries:한국어
  3. O1 Replication Journey: A Strategic Progress Report -- Part 1

    Yiwei Qin, Xuefeng Li, Haoyang Zou +8

    cs.AIcs.CLarXiv:2410.18982v12024
  4. A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models

    Qinggang Zhang, Shengyuan Chen, Yuanchen Bei +9

    cs.CLcs.AIcs.IRarXiv:2501.13958v32025
  5. Generative Language Models Exhibit Social Identity Biases

    Tiancheng Hu, Yara Kyrychenko, Steve Rathje +3

    cs.CLcs.CYarXiv:2310.15819v22023
  6. Multilingual Routing in Mixture-of-Experts

    Lucas Bandarkar, Chenyuan Yang, Mohsen Fayyaz +2

    cs.CLcs.AIcs.LGarXiv:2510.04694v22025
  7. Vulnerability Detection with Code Language Models: How Far Are We?

    Yangruibo Ding, Yanjun Fu, Omniyyah Ibrahim +6

    cs.SEcs.CLarXiv:2403.18624v22024
  8. Large Language Models Hallucination: A Comprehensive Survey

    Aisha Alansari, Hamzah Luqman

    cs.CLarXiv:2510.06265v32025
  9. Context Length Alone Hurts LLM Performance Despite Perfect Retrieval

    Yufeng Du, Minyang Tian, Srikanth Ronanki +7

    cs.CLcs.AIarXiv:2510.05381v12025
  10. Limitations of Large Language Models in Clinical Problem-Solving Arising from Inflexible Reasoning

    Jonathan Kim, Anna Podlasek, Kie Shidara +3

    cs.CLcs.AIarXiv:2502.04381v12025
  11. LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models

    Feng Li, Renrui Zhang, Hao Zhang +5

    cs.CVcs.CLcs.LGarXiv:2407.07895v22024
  12. Values in the Wild: Discovering and Analyzing Values in Real-World Language Model Interactions

    Saffron Huang, Esin Durmus, Miles McCain +7

    cs.CLcs.AIcs.CYarXiv:2504.15236v12025
  13. Efficient Reasoning Models: A Survey

    Sicheng Feng, Gongfan Fang, Xinyin Ma +1

    cs.CLcs.AIarXiv:2504.10903v22025
  14. R-PRM: Reasoning-Driven Process Reward Modeling

    Shuaijie She, Junxiao Liu, Yifeng Liu +3

    cs.CLarXiv:2503.21295v12025
  15. L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning

    Pranjal Aggarwal, Sean Welleck

    cs.CLcs.AIcs.LGarXiv:2503.04697v22025
  16. Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving

    Daoguang Zan, Zhirong Huang, Wei Liu +16

    cs.SEcs.AIcs.CLarXiv:2504.02605v12025
  17. LLM Inference Unveiled: Survey and Roofline Model Insights

    Zhihang Yuan, Yuzhang Shang, Yang Zhou +11

    cs.CLcs.AIarXiv:2402.16363v62024
  18. Investigating Cultural Alignment of Large Language Models

    Badr AlKhamissi, Muhammad ElNokrashy, Mai AlKhamissi +1

    cs.CLcs.CYarXiv:2402.13231v22024
  19. The Effect of Sampling Temperature on Problem Solving in Large Language Models

    Matthew Renze, Erhan Guven

    cs.CLcs.AIarXiv:2402.05201v32024
  20. AdvChain: Adversarial Chain-of-Thought Tuning for Robust Safety Alignment of Large Reasoning Models

    Zihao Zhu, Xinyu Wu, Gehan Hu +3

    cs.AIcs.CLarXiv:2509.24269v12025
  21. EAGLE-3: Scaling up Inference Acceleration of Large Language Models via Training-Time Test

    Yuhui Li, Fangyun Wei, Chao Zhang +1

    cs.CLarXiv:2503.01840v32025
  22. EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty

    Yuhui Li, Fangyun Wei, Chao Zhang +1

    cs.LGcs.CLarXiv:2401.15077v32024
  23. Code to Think, Think to Code: A Survey on Code-Enhanced Reasoning and Reasoning-Driven Code Intelligence in LLMs

    Dayu Yang, Tianyang Liu, Daoan Zhang +8

    cs.CLcs.AIcs.LGarXiv:2502.19411v12025
  24. Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text

    Abhimanyu Hans, Avi Schwarzschild, Valeriia Cherepanova +5

    cs.CLcs.AIcs.LGarXiv:2401.12070v32024
  25. mmBERT: A Modern Multilingual Encoder with Annealed Language Learning

    Marc Marone, Orion Weller, William Fleshman +3

    cs.CLcs.IRcs.LGarXiv:2509.06888v12025
  26. Beyond Self-Talk: A Communication-Centric Survey of LLM-Based Multi-Agent Systems

    Bingyu Yan, Zhibo Zhou, Litian Zhang +6

    cs.MAcs.CLarXiv:2502.14321v32025
  27. MMTEB: Massive Multilingual Text Embedding Benchmark

    Kenneth Enevoldsen, Isaac Chung, Imene Kerboua +83

    cs.CLcs.AIcs.IRarXiv:2502.13595v42025
  28. JailBreakV: A Benchmark for Assessing the Robustness of MultiModal Large Language Models against Jailbreak Attacks

    Weidi Luo, Siyuan Ma, Xiaogeng Liu +2

    cs.CRcs.AIcs.CLarXiv:2404.03027v42024
  29. Reasoning or Memorization? Unreliable Results of Reinforcement Learning Due to Data Contamination

    Mingqi Wu, Zhihao Zhang, Qiaole Dong +11

    cs.LGcs.AIcs.CLarXiv:2507.10532v32025
  30. One Token to Fool LLM-as-a-Judge

    Yulai Zhao, Haolin Liu, Dian Yu +4

    cs.LGcs.CLarXiv:2507.08794v32025
  31. House of Cards: Massive Weights in LLMs

    Jaehoon Oh, Seungjun Shin, Dokwan Oh

    cs.LGcs.AIcs.CLarXiv:2410.01866v22024
  32. Universal Self-Consistency for Large Language Model Generation

    Xinyun Chen, Renat Aksitov, Uri Alon +7

    cs.CLcs.AIarXiv:2311.17311v12023
  33. OctoThinker: Mid-training Incentivizes Reinforcement Learning Scaling

    Zengzhi Wang, Fan Zhou, Xuefeng Li +1

    cs.CLcs.AIcs.LGarXiv:2506.20512v12025
  34. Large Language Models in Finance: A Survey

    Yinheng Li, Shaofei Wang, Han Ding +1

    q-fin.GNcs.AIcs.CLarXiv:2311.10723v22023
  35. Qwen2.5-1M Technical Report

    An Yang, Bowen Yu, Chengyuan Li +25

    cs.CLarXiv:2501.15383v12025
  36. PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding

    Wei Chow, Jiageng Mao, Boyi Li +3

    cs.CVcs.AIcs.CLarXiv:2501.16411v22025
  37. Can large language models replace humans in the systematic review process? Evaluating GPT-4's efficacy in screening and extracting data from peer-reviewed and grey literature in multiple languages

    Qusai Khraisha, Sophie Put, Johanna Kappenberg +2

    cs.CLcs.AIcs.LGarXiv:2310.17526v22023
  38. Imagine while Reasoning in Space: Multimodal Visualization-of-Thought

    Chengzu Li, Wenshan Wu, Huanyu Zhang +5

    cs.CLcs.CVcs.LGarXiv:2501.07542v12025
  39. GEMBA-MQM: Detecting Translation Quality Error Spans with GPT-4

    Tom Kocmi, Christian Federmann

    cs.CLarXiv:2310.13988v12023
  40. TiC-LM: A Web-Scale Benchmark for Time-Continual LLM Pretraining

    Jeffrey Li, Mohammadreza Armandpour, Iman Mirzadeh +8

    cs.LGcs.CLarXiv:2504.02107v32025
  41. LeetCodeDataset: A Temporal Dataset for Robust Evaluation and Efficient Training of Code LLMs

    Yunhui Xia, Wei Shen, Yan Wang +5

    cs.LGcs.CLcs.SEarXiv:2504.14655v12025
  42. Reasoning Beyond Language: A Comprehensive Survey on Latent Chain-of-Thought Reasoning

    Xinghao Chen, Anhao Zhao, Heming Xia +7

    cs.CLarXiv:2505.16782v32025
  43. ToRL: Scaling Tool-Integrated RL

    Xuefeng Li, Haoyang Zou, Pengfei Liu

    cs.CLarXiv:2503.23383v12025
  44. Towards Holistic Evaluation of Large Audio-Language Models: A Comprehensive Survey

    Chih-Kai Yang, Neo S. Ho, Hung-yi Lee

    eess.AScs.AIcs.CLarXiv:2505.15957v42025
  45. ComplexFuncBench: Exploring Multi-Step and Constrained Function Calling under Long-Context Scenario

    Lucen Zhong, Zhengxiao Du, Xiaohan Zhang +2

    cs.CLarXiv:2501.10132v12025
  46. Improved Baselines with Visual Instruction Tuning

    Haotian Liu, Chunyuan Li, Yuheng Li +1

    cs.CVcs.AIcs.CLarXiv:2310.03744v22023
  47. Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement

    An Yang, Beichen Zhang, Binyuan Hui +13

    cs.CLcs.AIcs.LGarXiv:2409.12122v12024
  48. DetectLLM: Leveraging Log Rank Information for Zero-Shot Detection of Machine-Generated Text

    Jinyan Su, Terry Yue Zhuo, Di Wang +1

    cs.CLcs.AIarXiv:2306.05540v12023
  49. Federated In-Context LLM Agent Learning

    Panlong Wu, Kangshuo Li, Junbao Nan +1

    cs.LGcs.AIcs.CLarXiv:2412.08054v12024
  50. SVD-LLM V2: Optimizing Singular Value Truncation for Large Language Model Compression

    Xin Wang, Samiul Alam, Zhongwei Wan +2

    cs.CLarXiv:2503.12340v12025
  51. From Explicit CoT to Implicit CoT: Learning to Internalize CoT Step by Step

    Yuntian Deng, Yejin Choi, Stuart Shieber

    cs.CLcs.AIcs.LGarXiv:2405.14838v12024
  52. PandaGPT: One Model To Instruction-Follow Them All

    Yixuan Su, Tian Lan, Huayang Li +3

    cs.CLcs.CVarXiv:2305.16355v12023
  53. The False Promise of Imitating Proprietary LLMs

    Arnav Gudibande, Eric Wallace, Charlie Snell +5

    cs.CLarXiv:2305.15717v12023
  54. Understanding the planning of LLM agents: A survey

    Xu Huang, Weiwen Liu, Xiaolong Chen +6

    cs.AIcs.CLcs.LGarXiv:2402.02716v12024
  55. Large Language Model based Multi-Agents: A Survey of Progress and Challenges

    Taicheng Guo, Xiuying Chen, Yaqi Wang +5

    cs.CLcs.AIcs.MAarXiv:2402.01680v22024
  56. MAmmoTH2: Scaling Instructions from the Web

    Xiang Yue, Tuney Zheng, Ge Zhang +1

    cs.CLarXiv:2405.03548v42024
  57. A Hitchhiker's Guide to Scaling Law Estimation

    Leshem Choshen, Yang Zhang, Jacob Andreas

    cs.LGcs.AIcs.CLarXiv:2410.11840v22024
  58. Improving Grounded Language Understanding in a Collaborative Environment by Interacting with Agents Through Help Feedback

    Nikhil Mehta, Milagro Teruel, Patricio Figueroa Sanz +3

    cs.CLcs.AIarXiv:2304.10750v22023
  59. H-CoT: Hijacking the Chain-of-Thought Safety Reasoning Mechanism to Jailbreak Large Reasoning Models, Including OpenAI o1/o3, DeepSeek-R1, and Gemini 2.0 Flash Thinking

    Martin Kuo, Jianyi Zhang, Aolin Ding +6

    cs.CLarXiv:2502.12893v22025
  60. VideoTree: Adaptive Tree-based Video Representation for LLM Reasoning on Long Videos

    Ziyang Wang, Shoubin Yu, Elias Stengel-Eskin +4

    cs.CVcs.AIcs.CLarXiv:2405.19209v32024