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Who cites Luke Hewitt

2,178 citations of their works from 2,176 papers of our library (of the 149,439 whose bibliographies we read) · 615 with a page here, the most cited first · page 1 of 7 · 1–100 · ← Luke Hewitt

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  1. Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language modelsarXiv:2206.04615 · Transactions on Machine Learning Research, May/2022, https://openreview.net/forum?id=uyTL5BvosjAarohi Srivastava, Abhinav Rastogi, Abhishek Rao, et al.2022 · 1,756 citations
  2. Program Synthesis with Large Language ModelsarXiv:2108.07732Jacob Austin, Augustus Odena, Maxwell Nye, et al.2021 · 1,192 citations
  3. gpt-oss-120b & gpt-oss-20b Model CardarXiv:2508.10925OpenAI: Sandhini Agarwal, Lama Ahmad, Jason Ai, et al.2025 · 576 citations
  4. Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video AnalysisIEEE Computer Society Conference on Computer Vision and Pattern RecognitionChaoyou Fu, Yuhan Dai, Yongdong Luo, et al.2024 · 427 citations
  5. Tulu 3: Pushing Frontiers in Open Language Model Post-TrainingarXiv:2411.15124Nathan Lambert, Jacob Morrison, Valentina Pyatkin, et al.2024 · 423 citations
  6. Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation ModelsarXiv:2506.05176Yanzhao Zhang, Mingxin Li, Dingkun Long, et al.2025 · 322 citations
  7. Personality Traits in Large Language ModelsarXiv:2307.00184Greg Serapio-Garcia, Mustafa Safdari, Clement Crepy, et al.2023 · 252 citations
  8. InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal ModelsarXiv:2504.10479Jinguo Zhu, Weiyun Wang, Zhe Chen, et al.2025 · 216 citations
  9. Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language ModelsIEEE Computer Society Conference on Computer Vision and Pattern RecognitionMatt Deitke, Christopher Clark, Sangho Lee, et al.2024 · 216 citations
  10. Search-o1: Agentic Search-Enhanced Large Reasoning ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Xiaoxi Li, Guanting Dong, Jiajie Jin, et al.2025 · 211 citations
  11. ELEPHANT: Measuring and understanding social sycophancy in LLMsScienceMyra Cheng, Sunny Yu, Cinoo Lee, et al.2025 · 188 citations
  12. Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Shivalika Singh, Angelika Romanou, Clémentine Fourrier, et al.2025 · 182 citations
  13. Thinking in Space: How Multimodal Large Language Models See, Remember, and Recall SpacesIEEE Computer Society Conference on Computer Vision and Pattern RecognitionJihan Yang, Shusheng Yang, Anjali W. Gupta, et al.2024 · 182 citations
  14. InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and EfficiencyarXiv:2508.18265Weiyun Wang, Zhangwei Gao, Lixin Gu, et al.2025 · 179 citations
  15. The Lessons of Developing Process Reward Models in Mathematical ReasoningFindings of the Association for Computational LinguisticsZhenru Zhang, Chujie Zheng, Yangzhen Wu, et al.2025 · 161 citations
  16. Abstraction and analogy-making in artificial intelligenceMelanie Mitchell2021 · 161 citations
  17. SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the WildarXiv:2503.18892Weihao Zeng, Yuzhen Huang, Qian Liu, et al.2025 · 154 citations
  18. Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAsarXiv:2503.01743Microsoft, Abdelrahman Abouelenin, Atabak Ashfaq, et al.2025 · 152 citations
  19. Agent Laboratory: Using LLM Agents as Research AssistantsarXiv:2501.04227Samuel Schmidgall, Yusheng Su, Ze Wang, et al.2025 · 139 citations
  20. LLaVA-CoT: Let Vision Language Models Reason Step-by-StepIEEE/CVF International Conference on Computer Vision (ICCV)Guowei Xu, Peng Jin, Ziang Wu, et al.2024 · 138 citations
  21. HealthBench: Evaluating Large Language Models Towards Improved Human HealtharXiv:2505.08775Rahul K. Arora, Jason Wei, Rebecca Soskin Hicks, et al.2025 · 126 citations
  22. Mem0: Building Production-Ready AI Agents with Scalable Long-Term MemoryarXiv:2504.19413Prateek Chhikara, Dev Khant, Saket Aryan, et al.2025 · 125 citations
  23. VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMsarXiv:2406.07476Zesen Cheng, Sicong Leng, Hang Zhang, et al.2024 · 118 citations
  24. ProcessBench: Identifying Process Errors in Mathematical ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Chujie Zheng, Zhenru Zhang, Beichen Zhang, et al.2025 · 116 citations
  25. Deliberative Alignment: Reasoning Enables Safer Language ModelsSuperIntelligence - Robotics - Safety & AlignmentMelody Y. Guan, Manas Joglekar, Eric Wallace, et al.2024 · 115 citations
  26. DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world EnvironmentsConference on Empirical Methods in Natural Language Processing (EMNLP)Yuxiang Zheng, Dayuan Fu, Xiangkun Hu, et al.2025 · 113 citations
  27. UI-TARS: Pioneering Automated GUI Interaction with Native AgentsarXiv:2501.12326Yujia Qin, Yining Ye, Junjie Fang, et al.2025 · 112 citations
  28. Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language ModelsarXiv:2503.06749Wenxuan Huang, Bohan Jia, Zijie Zhai, et al.2025 · 92 citations
  29. CosyVoice 2: Scalable Streaming Speech Synthesis with Large Language ModelsarXiv:2412.10117Zhihao Du, Yuxuan Wang, Qian Chen, et al.2024 · 91 citations
  30. SuperGPQA: Scaling LLM Evaluation across 285 Graduate DisciplinesarXiv:2502.14739M-A-P Team, Xinrun Du, Yifan Yao, et al.2025 · 89 citations
  31. ADaPT: As-Needed Decomposition and Planning with Language ModelsFindings of the Association for Computational LinguisticsArchiki Prasad, Alexander Koller, Mareike Hartmann, et al.2024 · 89 citations
  32. SORRY-Bench: Systematically Evaluating Large Language Model Safety RefusalarXiv:2406.14598Tinghao Xie, Xiangyu Qi, Yi Zeng, et al.2024 · 87 citations
  33. Write, Execute, Assess: Program Synthesis with a REPLarXiv:1906.04604Kevin Ellis, Maxwell Nye, Yewen Pu, et al.2019 · 86 citations
  34. LLMs Get Lost In Multi-Turn ConversationarXiv:2505.06120Philippe Laban, Hiroaki Hayashi, Yingbo Zhou, et al.2025 · 82 citations
  35. Rubrics as Rewards: Reinforcement Learning Beyond Verifiable DomainsarXiv:2507.17746Anisha Gunjal, Anthony Wang, Elaine Lau, et al.2025 · 73 citations
  36. WebThinker: Empowering Large Reasoning Models with Deep Research CapabilityConference on Neural Information Processing Systems (NeurIPS)Xiaoxi Li, Jiajie Jin, Guanting Dong, et al.2025 · 72 citations
  37. Kimi-VL Technical ReportarXiv:2504.07491Kimi Team, Angang Du, Bohong Yin, et al.2025 · 70 citations
  38. Recent Advances in Speech Language Models: A SurveyAnnual Meeting of the Association for Computational Linguistics (ACL)Wenqian Cui, Dianzhi Yu, Xiaoqi Jiao, et al.2025 · 69 citations
  39. Hypothesis Generation with Large Language ModelsarXiv:2404.04326Yangqiaoyu Zhou; Haokun Liu; Tejes Srivastava; Hongyuan Mei;, Chenhao Tan2024 · 68 citations
  40. Seed1.5-VL Technical ReportarXiv:2505.07062Dong Guo, Faming Wu, Feida Zhu, et al.2025 · 67 citations
  41. MedXpertQA: Benchmarking Expert-Level Medical Reasoning and UnderstandingarXiv:2501.18362Yuxin Zuo, Shang Qu, Yifei Li, et al.2025 · 65 citations
  42. Phi-4-reasoning Technical ReportarXiv:2504.21318Marah Abdin, Sahaj Agarwal, Ahmed Awadallah, et al.2025 · 64 citations
  43. SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software EvolutionConference on Neural Information Processing Systems (NeurIPS)Yuxiang Wei, Olivier Duchenne, Jade Copet, et al.2025 · 64 citations
  44. Monitoring Reasoning Models for Misbehavior and the Risks of Promoting ObfuscationarXiv:2503.11926Bowen Baker, Joost Huizinga, Leo Gao, et al.2025 · 63 citations
  45. PRMBench: A Fine-grained and Challenging Benchmark for Process-Level Reward ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Mingyang Song, Zhaochen Su, Xiaoye Qu, et al.2025 · 63 citations
  46. Compilable Neural Code Generation with Compiler FeedbackFindings of the Association for Computational LinguisticsXin Wang, Yasheng Wang, Yao Wan, et al.2022 · 63 citations
  47. Kimi-Audio Technical ReportarXiv:2504.18425KimiTeam, Ding Ding, Zeqian Ju, et al.2025 · 57 citations
  48. A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and BeyondarXiv:2503.21614Xiaoye Qu, Yafu Li, Zhao-Chen Su, et al.2025 · 55 citations
  49. R1-Onevision: Advancing Generalized Multimodal Reasoning through Cross-Modal FormalizationarXiv:2503.10615Yi Yang, Xiaoxuan He, Hongkun Pan, et al.2025 · 55 citations
  50. VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement LearningConference on Neural Information Processing Systems (NeurIPS)Haozhe Wang, Chao Qu, Zuming Huang, et al.2025 · 52 citations
  51. Sketch-of-Thought: Efficient LLM Reasoning with Adaptive Cognitive-Inspired SketchingConference on Empirical Methods in Natural Language Processing (EMNLP)Simon A. Aytes, Jinheon Baek, Sung Ju Hwang2025 · 51 citations
  52. MiniMax-01: Scaling Foundation Models with Lightning AttentionarXiv:2501.08313MiniMax, Aonian Li, Bangwei Gong, et al.2025 · 50 citations
  53. MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement LearningarXiv:2503.07365Fanqing Meng, Lingxiao Du, Zongkai Liu, et al.2025 · 49 citations
  54. RM-R1: Reward Modeling as ReasoningarXiv:2505.02387Xiusi Chen, Gaotang Li, Ziqi Wang, et al.2025 · 49 citations
  55. OS-Genesis: Automating GUI Agent Trajectory Construction via Reverse Task SynthesisAnnual Meeting of the Association for Computational Linguistics (ACL)Qiushi Sun, Kanzhi Cheng, Zichen Ding, et al.2025 · 48 citations
  56. Skywork-Reward-V2: Scaling Preference Data Curation via Human-AI SynergyarXiv:2507.01352Chris Yuhao Liu, Liang Zeng, Yuzhen Xiao, et al.2025 · 48 citations
  57. Execution-based Code Generation using Deep Reinforcement LearningTransactions on Machine Learning ResearchParshin Shojaee, Aneesh Jain, Sindhu Tipirneni, et al.2023 · 47 citations
  58. NVLM: Open Frontier-Class Multimodal LLMsarXiv:2409.11402Wenliang Dai, Nayeon Lee, Boxin Wang, et al.2024 · 44 citations
  59. General-Reasoner: Advancing LLM Reasoning Across All DomainsConference on Neural Information Processing Systems (NeurIPS)Xueguang Ma, Qian Liu, Dongfu Jiang, et al.2025 · 43 citations
  60. Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time ScalingarXiv:2502.06703Runze Liu, Junqi Gao, Jian Zhao, et al.2025 · 41 citations
  61. CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo RatingsarXiv:2501.01257Shanghaoran Quan, Jiaxi Yang, Bowen Yu, et al.2025 · 37 citations
  62. The Surprising Effectiveness of Test-Time Training for Few-Shot LearningarXiv:2411.07279Ekin Akyürek, Mehul Damani, Adam Zweiger, et al.2024 · 36 citations
  63. AbstentionBench: Reasoning LLMs Fail on Unanswerable QuestionsConference on Neural Information Processing Systems (NeurIPS)Polina Kirichenko, Mark Ibrahim, Kamalika Chaudhuri, et al.2025 · 35 citations
  64. Michelangelo: Long Context Evaluations Beyond Haystacks via Latent Structure QueriesarXiv:2409.12640Kiran Vodrahalli; Santiago Ontanon; Nilesh Tripuraneni; Kelvin Xu; Sanil Jain; Rakesh Shivanna; Jeffrey Hui; Nishanth Dikkala; Mehran Kazemi; Bahare Fatemi; Rohan Anil; Ethan Dyer; Siamak Shakeri; Roopali Vij; Harsh Mehta; Vinay Ramasesh; Quoc Le; Ed Chi; Yifeng Lu; Orhan Firat; Angeliki Lazaridou; Jean-Baptiste Lespiau; Nithya Attaluri;, Kate Olszewska2024 · 35 citations
  65. ACECODER: Acing Coder RL via Automated Test-Case SynthesisAnnual Meeting of the Association for Computational Linguistics (ACL)Huaye Zeng, Dongfu Jiang, Haozhe Wang, et al.2025 · 32 citations
  66. Attacking Vision-Language Computer Agents via Pop-upsAnnual Meeting of the Association for Computational Linguistics (ACL)Yanzhe Zhang, Tao Yu, Diyi Yang2025 · 32 citations
  67. Evaluating Language Models as Synthetic Data GeneratorsAnnual Meeting of the Association for Computational Linguistics (ACL)Seungone Kim, Juyoung Suk, Xiang Yue, et al.2025 · 32 citations
  68. VLSBench: Unveiling Visual Leakage in Multimodal SafetyAnnual Meeting of the Association for Computational Linguistics (ACL)Xuhao Hu, Dongrui Liu, Hao Li, et al.2025 · 32 citations
  69. SelfCodeAlign: Self-Alignment for Code GenerationConference on Neural Information Processing Systems (NeurIPS)Yuxiang Wei, Federico Cassano, Jiawei Liu, et al.2024 · 32 citations
  70. LLMs and the Abstraction and Reasoning Corpus: Successes, Failures, and the Importance of Object-based RepresentationsarXiv:2305.18354Yudong Xu, Wenhao Li, Pashootan Vaezipoor, et al.2023 · 32 citations
  71. Step-Audio 2 Technical ReportarXiv:2507.16632Boyong Wu, Chao Yan, Chen Hu, et al.2025 · 31 citations
  72. SpreadsheetCoder: Formula Prediction from Semi-structured ContextarXiv:2106.15339Xinyun Chen, Petros Maniatis, Rishabh Singh, et al.2021 · 31 citations
  73. Can Indirect Prompt Injection Attacks Be Detected and Removed?Annual Meeting of the Association for Computational Linguistics (ACL)Yulin Chen, Haoran Li, Yuan Sui, et al.2025 · 30 citations
  74. SemEval-2025 Task 1: AdMIRe - Advancing Multimodal Idiomaticity RepresentationInternational Workshop on Semantic Evaluation (SemEval)Thomas Pickard, Aline Villavicencio, Maggie Mi, et al.2025 · 30 citations
  75. The Hidden Risks of Large Reasoning Models: A Safety Assessment of R1International Joint Conference on Natural Language Processing (IJCNLP)Kaiwen Zhou, Chengzhi Liu, Xuandong Zhao, et al.2025 · 30 citations
  76. PaSa: An LLM Agent for Comprehensive Academic Paper SearchAnnual Meeting of the Association for Computational Linguistics (ACL)Yichen He, Guanhua Huang, Peiyuan Feng, et al.2025 · 29 citations
  77. Challenging the Boundaries of Reasoning: An Olympiad-Level Math Benchmark for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Haoxiang Sun, Yingqian Min, Zhipeng Chen, et al.2026 · 25 citations
  78. Audio-Reasoner: Improving Reasoning Capability in Large Audio Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Xie Zhifei, Mingbao Lin, Zihang Liu, et al.2025 · 25 citations
  79. ResearchBench: Benchmarking LLMs in Scientific Discovery via Inspiration-Based Task DecompositionarXiv:2503.21248Yujie Liu, Zonglin Yang, Tong Xie, et al.2025 · 25 citations
  80. Step-Audio: Unified Understanding and Generation in Intelligent Speech InteractionarXiv:2502.11946Ailin Huang, Boyong Wu, Bruce Wang, et al.2025 · 25 citations
  81. Table-Critic: A Multi-Agent Framework for Collaborative Criticism and Refinement in Table ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Peiying Yu, Guoxin Chen, Jingjing Wang2025 · 25 citations
  82. HunyuanProver: A Scalable Data Synthesis Framework and Guided Tree Search for Automated Theorem ProvingarXiv:2412.20735Yang Li, Dong Du, Linfeng Song, et al.2024 · 25 citations
  83. Defense Against Prompt Injection Attack by Leveraging Attack TechniquesAnnual Meeting of the Association for Computational Linguistics (ACL)Yulin Chen, Haoran Li, Zihao Zheng, et al.2025 · 24 citations
  84. Linguistic Generalizability of Test-Time Scaling in Mathematical ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Guijin Son, Jiwoo Hong, Hyunwoo Ko, et al.2025 · 24 citations
  85. Personalized Generation In Large Model Era: A SurveyAnnual Meeting of the Association for Computational Linguistics (ACL)Yiyan Xu, Jinghao Zhang, Alireza Salemi, et al.2025 · 24 citations
  86. ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error DetectionFindings of the Association for Computational LinguisticsYibo Yan, Shen Wang, Jiahao Huo, et al.2026 · 23 citations
  87. All That Glitters is Not Novel: Plagiarism in AI Generated ResearchAnnual Meeting of the Association for Computational Linguistics (ACL)Tarun Gupta, Danish Pruthi2025 · 23 citations
  88. Chain-of-Reasoning: Towards Unified Mathematical Reasoning in Large Language Models via a Multi-Paradigm PerspectiveAnnual Meeting of the Association for Computational Linguistics (ACL)Yiyao Yu, Yuxiang Zhang, Dongdong Zhang, et al.2025 · 23 citations
  89. Symbolic Regression with a Learned Concept LibraryConference on Neural Information Processing Systems (NeurIPS)Arya Grayeli, Atharva Sehgal, Omar Costilla-Reyes, et al.2024 · 23 citations
  90. R1-T1: Fully Incentivizing Translation Capability in LLMs via Reasoning LearningTransactions of the Association for Computational Linguistics (TACL)Minggui He, Yilun Liu, Shimin Tao, et al.2026 · 22 citations
  91. SemEval-2026 Task 11: Disentangling Content and Formal Reasoning in Large Language ModelsInternational Workshop on Semantic Evaluation (SemEval)Marco Valentino, Leonardo Ranaldi, Giulia Pucci, et al.2026 · 22 citations
  92. Communicating Natural Programs to Humans and MachinesConference on Neural Information Processing Systems (NeurIPS)Samuel Acquaviva, Yewen Pu, Marta Kryven, et al.2021 · 22 citations
  93. InternAgent: When Agent Becomes the Scientist — Building Closed-Loop System from Hypothesis to VerificationarXiv:2505.16938InternAgent Team, Bo Zhang, Shiyang Feng, et al.2025 · 21 citations
  94. KITAB-Bench: A Comprehensive Multi-Domain Benchmark for Arabic OCR and Document UnderstandingFindings of the Association for Computational LinguisticsAhmed Heakl, Muhammad Abdullah Sohail, Mukul Ranjan, et al.2025 · 21 citations
  95. PHYBench: Holistic Evaluation of Physical Perception and Reasoning in Large Language ModelsConference on Neural Information Processing Systems (NeurIPS)Shi Qiu, Shaoyang Guo, Zhuo-Yang Song, et al.2025 · 21 citations
  96. Do Large Language Models Understand Word Senses?Domenico Meconi, Simone Stirpe, Federico Martelli2025 · 18 citations
  97. LLMs know their vulnerabilities: Uncover Safety Gaps through Natural Distribution ShiftsAnnual Meeting of the Association for Computational Linguistics (ACL)Qibing Ren, Hao Li, Dongrui Liu, et al.2025 · 18 citations
  98. VerIF: Verification Engineering for Reinforcement Learning in Instruction FollowingConference on Empirical Methods in Natural Language Processing (EMNLP)Hao Peng, Yunjia Qi, Xiaozhi Wang, et al.2025 · 18 citations
  99. Safe: Enhancing Mathematical Reasoning in Large Language Models via Retrospective Step-aware Formal VerificationAnnual Meeting of the Association for Computational Linguistics (ACL)Chengwu Liu, Ye Yuan, Yichun Yin, et al.2025 · 17 citations
  100. Skywork R1V: Pioneering Multimodal Reasoning with Chain-of-ThoughtarXiv:2504.05599Yi Peng, Peiyu Wang, Xiaokun Wang, et al.2025 · 17 citations

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