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Who cites Maxwell Nye

1,354 citations of their works from 1,310 papers of our library (of the 149,439 whose bibliographies we read) · 471 with a page here, the most cited first · page 2 of 5 · 101–200 · ← Maxwell Nye

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  1. CRUXEval: A Benchmark for Code Reasoning, Understanding and ExecutionarXiv:2401.03065Alex Gu, Baptiste Rozière, Hugh Leather, et al.2024 · 122 citations
  2. Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language ModelsarXiv:2408.00724Yangzhen Wu, Zhiqing Sun, Shanda Li, et al.2024 · 122 citations
  3. RepoBench: Benchmarking Repository-Level Code Auto-Completion SystemsarXiv:2306.03091Tianyang Liu, Canwen Xu, Julian McAuley2023 · 122 citations
  4. Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language ModelsarXiv:2501.09686Fengli Xu, Qianyue Hao, Zefang Zong, et al.2025 · 120 citations
  5. #InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language ModelsarXiv:2308.07074Keming Lu, Hongyi Yuan, Zheng Yuan, et al.2023 · 120 citations
  6. A Real-World WebAgent with Planning, Long Context Understanding, and Program SynthesisarXiv:2307.12856Izzeddin Gur, Hiroki Furuta, Austin Huang, et al.2023 · 120 citations
  7. MapCoder: Multi-Agent Code Generation for Competitive Problem SolvingAnnual Meeting of the Association for Computational Linguistics (ACL)Md. Ashraful Islam, Mohammed Eunus Ali, Md Rizwan Parvez2024 · 118 citations
  8. Agentless: Demystifying LLM-based Software Engineering AgentsarXiv:2407.01489Chunqiu Steven Xia, Yinlin Deng, Soren Dunn, et al.2024 · 117 citations
  9. ArabicMMLU: Assessing Massive Multitask Language Understanding in ArabicFindings of the Association for Computational LinguisticsFajri Koto, Haonan Li, Sara Shatnawi, et al.2024 · 117 citations
  10. Emergent Linear Representations in World Models of Self-Supervised Sequence ModelsarXiv:2309.00941Neel Nanda, Andrew Lee, Martin Wattenberg2023 · 116 citations
  11. Physics of Language Models: Part 3.1, Knowledge Storage and ExtractionarXiv:2309.14316Zeyuan Allen-Zhu, Yuanzhi Li2023 · 116 citations
  12. Natural Language to Code Translation with ExecutionConference on Empirical Methods in Natural Language Processing (EMNLP)Freda Shi, Daniel Fried, Marjan Ghazvininejad, et al.2022 · 116 citations
  13. Inspecting and Editing Knowledge Representations in Language ModelsarXiv:2304.00740Evan Hernandez, Belinda Z. Li, Jacob Andreas2023 · 115 citations
  14. Break the Sequential Dependency of LLM Inference Using Lookahead DecodingarXiv:2402.02057Yichao Fu, Peter Bailis, Ion Stoica, et al.2024 · 114 citations
  15. DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming HeadsarXiv:2410.10819Guangxuan Xiao, Jiaming Tang, Jingwei Zuo, et al.2024 · 114 citations
  16. V-STaR: Training Verifiers for Self-Taught ReasonersarXiv:2402.06457Arian Hosseini, Xingdi Yuan, Nikolay Malkin, et al.2024 · 114 citations
  17. RLHF Workflow: From Reward Modeling to Online RLHFarXiv:2405.07863Hanze Dong, Wei Xiong, Bo Pang, et al.2024 · 111 citations
  18. Mechanistic Interpretability for AI Safety — A ReviewarXiv:2404.14082Leonard Bereska, Efstratios Gavves2024 · 108 citations
  19. Nemotron-4 340B Technical ReportarXiv:2406.11704Nvidia: Bo Adler, Niket Agarwal, Ashwath Aithal, et al.2024 · 107 citations
  20. A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and RecommendationsConference on Empirical Methods in Natural Language Processing (EMNLP)Md Tahmid Rahman Laskar, Sawsan Alqahtani, M Saiful Bari, et al.2024 · 105 citations
  21. MMTEB: Massive Multilingual Text Embedding BenchmarkarXiv:2502.13595Kenneth Enevoldsen, Isaac Chung, Imene Kerboua, et al.2025 · 103 citations
  22. Who Wrote this Code? Watermarking for Code GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Taehyun Lee, Seokhee Hong, Jaewoo Ahn, et al.2024 · 103 citations
  23. Qwen2.5-1M Technical ReportarXiv:2501.15383An Yang, Bowen Yu, Chengyuan Li, et al.2025 · 102 citations
  24. A Careful Examination of Large Language Model Performance on Grade School ArithmeticConference on Neural Information Processing Systems (NeurIPS)Hugh Zhang, Jeff Da, Dean Lee, et al.2024 · 101 citations
  25. FLASK: Fine-grained Language Model Evaluation based on Alignment Skill SetsarXiv:2307.10928Seonghyeon Ye, Doyoung Kim, Sungdong Kim, et al.2023 · 100 citations
  26. MAmmoTH2: Scaling Instructions from the WebConference on Neural Information Processing Systems (NeurIPS)Xiang Yue, Tuney Zheng, Ge Zhang, et al.2024 · 96 citations
  27. Identifying the Risks of LM Agents with an LM-Emulated SandboxarXiv:2309.15817Yangjun Ruan, Honghua Dong, Andrew Wang, et al.2023 · 96 citations
  28. A Survey on Data Selection for Language ModelsarXiv:2402.16827Alon Albalak, Yanai Elazar, Sang Michael Xie, et al.2024 · 95 citations
  29. AFlow: Automating Agentic Workflow GenerationarXiv:2410.10762Jiayi Zhang, Jinyu Xiang, Zhaoyang Yu, et al.2024 · 95 citations
  30. InterCode: Standardizing and Benchmarking Interactive Coding with Execution FeedbackConference on Neural Information Processing Systems (NeurIPS)John Yang, Akshara Prabhakar, Karthik Narasimhan, et al.2023 · 95 citations
  31. Advancing LLM Reasoning Generalists with Preference TreesarXiv:2404.02078Lifan Yuan, Ganqu Cui, Hanbin Wang, et al.2024 · 94 citations
  32. CodeGen2: Lessons for Training LLMs on Programming and Natural LanguagesarXiv:2305.02309Erik Nijkamp, Hiroaki Hayashi, Caiming Xiong, et al.2023 · 94 citations
  33. Universal Self-Consistency for Large Language Model GenerationarXiv:2311.17311Xinyun Chen, Renat Aksitov, Uri Alon, et al.2023 · 92 citations
  34. Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMsarXiv:2311.04892Shashank Gupta, Vaishnavi Shrivastava, Ameet Deshpande, et al.2023 · 91 citations
  35. Better & Faster Large Language Models via Multi-token PredictionarXiv:2404.19737Fabian Gloeckle, Badr Youbi Idrissi, Baptiste Roziere, et al.2024 · 90 citations
  36. AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and OptimisationarXiv:2312.13010Dong Huang, Jie M.Zhang, Michael Luck, et al.2023 · 90 citations
  37. Planning with Large Language Models for Code GenerationarXiv:2303.05510Shun Zhang, Zhenfang Chen, Yikang Shen, et al.2023 · 90 citations
  38. Dream 7B: Diffusion Large Language ModelsarXiv:2508.15487Jiacheng Ye; Zhihui Xie; Lin Zheng; Jiahui Gao; Zirui Wu; Xin Jiang; Zhenguo Li;, Lingpeng Kong2025 · 89 citations
  39. 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
  40. MultiPL-E: A Scalable and Extensible Approach to Benchmarking Neural Code GenerationarXiv:2208.08227Federico Cassano, John Gouwar, Daniel Nguyen, et al.2022 · 88 citations
  41. Foundational Challenges in Assuring Alignment and Safety of Large Language ModelsarXiv:2404.09932Usman Anwar, Abulhair Saparov, Javier Rando, et al.2024 · 87 citations
  42. PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language ModelsarXiv:2404.02948Fanxu Meng, Zhaohui Wang, Muhan Zhang2024 · 86 citations
  43. Multi-lingual Evaluation of Code Generation ModelsarXiv:2210.14868Ben Athiwaratkun, Sanjay Krishna Gouda, Zijian Wang, et al.2022 · 86 citations
  44. The Goldilocks of Pragmatic Understanding: Fine-Tuning Strategy Matters for Implicature Resolution by LLMsConference on Neural Information Processing Systems (NeurIPS)Laura Ruis, Akbir Khan, Stella Biderman, et al.2022 · 86 citations
  45. Write, Execute, Assess: Program Synthesis with a REPLarXiv:1906.04604Kevin Ellis, Maxwell Nye, Yewen Pu, et al.2019 · 86 citations
  46. Large Language Model Instruction Following: A Survey of Progresses and ChallengesComputational LinguisticsRenze Lou, Kai Zhang, Wenpeng Yin2024 · 83 citations
  47. CodeGemma: Open Code Models Based on GemmaarXiv:2406.11409CodeGemma Team: Heri Zhao, Jeffrey Hui, Joshua Howland, et al.2024 · 82 citations
  48. Is Self-Repair a Silver Bullet for Code Generation?arXiv:2306.09896Theo X. Olausson, Jeevana Priya Inala, Chenglong Wang, et al.2024 · 82 citations
  49. Linearity of Relation Decoding in Transformer Language ModelsarXiv:2308.09124Evan Hernandez, Arnab Sen Sharma, Tal Haklay, et al.2023 · 82 citations
  50. OpenCoder: The Open Cookbook for Top-Tier Code Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Siming Huang, Tianhao Cheng, Jason Klein Liu, et al.2025 · 81 citations
  51. Finding Alignments Between Interpretable Causal Variables and Distributed Neural RepresentationsarXiv:2303.02536Atticus Geiger, Zhengxuan Wu, Christopher Potts, et al.2023 · 81 citations
  52. Interpretability at Scale: Identifying Causal Mechanisms in AlpacaConference on Neural Information Processing Systems (NeurIPS)Zhengxuan Wu, Atticus Geiger, Thomas Icard, et al.2023 · 81 citations
  53. BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive RetrievalarXiv:2407.12883Hongjin Su, Howard Yen, Mengzhou Xia, et al.2024 · 77 citations
  54. Synthesizing Structured CAD Models with Equality Saturation and Inverse TransformationsProceedings of the ACM SIGPLAN Conference on Programming Language Design and ImplementationChandrakana Nandi, Max Willsey, Adam Anderson, et al.2020 · 77 citations
  55. Llama-Nemotron: Efficient Reasoning ModelsarXiv:2505.00949Akhiad Bercovich, Itay Levy, Izik Golan, et al.2025 · 76 citations
  56. SciCode: A Research Coding Benchmark Curated by ScientistsConference on Neural Information Processing Systems (NeurIPS)Minyang Tian, Luyu Gao, Shizhuo Dylan Zhang, et al.2024 · 75 citations
  57. Large Language Models as Analogical ReasonersarXiv:2310.01714Michihiro Yasunaga, Xinyun Chen, Yujia Li, et al.2023 · 74 citations
  58. TACO: Topics in Algorithmic COde generation datasetarXiv:2312.14852Rongao Li, Jie Fu, Bo-Wen Zhang, et al.2023 · 73 citations
  59. Few-Shot Semantic Parsing with Language Models Trained on CodeConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Richard Shin, Benjamin Van Durme2022 · 72 citations
  60. Execution-Based Evaluation for Open-Domain Code GenerationFindings of the Association for Computational LinguisticsZhiruo Wang, Shuyan Zhou, Daniel Fried, et al.2023 · 69 citations
  61. Apertus: Democratizing Open and Compliant LLMs for Global Language EnvironmentsAnnual Meeting of the Association for Computational Linguistics (ACL)Alejandro Hernández-Cano, Alexander Hägele, Allen Hao Huang, et al.2026 · 68 citations
  62. Competitive Programming with Large Reasoning ModelsarXiv:2502.06807OpenAI: Ahmed El-Kishky, Alexander Wei, Andre Saraiva, et al.2025 · 68 citations
  63. A Thorough Examination of Decoding Methods in the Era of LLMsConference on Empirical Methods in Natural Language Processing (EMNLP)Chufan Shi, Haoran Yang, Deng Cai, et al.2024 · 68 citations
  64. Hypothesis Generation with Large Language ModelsarXiv:2404.04326Yangqiaoyu Zhou; Haokun Liu; Tejes Srivastava; Hongyuan Mei;, Chenhao Tan2024 · 68 citations
  65. An Open Source Data Contamination Report for Large Language ModelsarXiv:2310.17589Yucheng Li, Frank Guerin, Chenghua Lin2023 · 66 citations
  66. Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language ModelsarXiv:2402.13064Haoran Li, Qingxiu Dong, Zhengyang Tang, et al.2024 · 65 citations
  67. 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
  68. Linear Representations of Sentiment in Large Language ModelsarXiv:2310.15154Curt Tigges, Oskar John Hollinsworth, Atticus Geiger, et al.2023 · 64 citations
  69. Natural Language to Code Generation in Interactive Data Science NotebooksAnnual Meeting of the Association for Computational Linguistics (ACL)Pengcheng Yin, Wen-Ding Li, Kefan Xiao, et al.2023 · 63 citations
  70. Compilable Neural Code Generation with Compiler FeedbackFindings of the Association for Computational LinguisticsXin Wang, Yasheng Wang, Yao Wan, et al.2022 · 63 citations
  71. Entity Tracking in Language ModelsarXiv:2305.02363Najoung Kim, Sebastian Schuster2023 · 62 citations
  72. NaturalProver: Grounded Mathematical Proof Generation with Language ModelsConference on Neural Information Processing Systems (NeurIPS)Sean Welleck, Jiacheng Liu, Ximing Lu, et al.2022 · 62 citations
  73. Teaching Large Language Models to Reason with Reinforcement LearningarXiv:2403.04642Alex Havrilla, Yuqing Du, Sharath Chandra Raparthy, et al.2024 · 61 citations
  74. Large Language Models Are Not Strong Abstract ReasonersarXiv:2305.19555Gael Gendron, Qiming Bao, Michael Witbrock, et al.2023 · 61 citations
  75. MiMo-V2-Flash Technical ReportarXiv:2601.02780Xiaomi LLM-Core Team; Bangjun Xiao; Bingquan Xia; Bo Yang; Bofei Gao; Bowen Shen; Chen Zhang; Chenhong He; Chiheng Lou; Fuli Luo; Gang Wang; Gang Xie; Hailin Zhang; Hanglong Lv; Hanyu Li; Heyu Chen; Hongshen Xu; Houbin Zhang; Huaqiu Liu; Jiangshan Duo; Jianyu Wei; Jiebao Xiao; Jinhao Dong; Jun Shi; Junhao Hu; Kainan Bao; Kang Zhou; Lei Li; Liang Zhao; Linghao Zhang; Peidian Li; Qianli Chen; Shaohui Liu; Shihua Yu; Shijie Cao; Shimao Chen; Shouqiu Yu; Shuo Liu; Tianling Zhou; Weijiang Su; Weikun Wang; Wenhan Ma; Xiangwei Deng; Bohan Mao; Bowen Ye; Can Cai; Chenghua Wang; Chengxuan Zhu; Chong Ma; Chun Chen; Chunan Li; Dawei Zhu; Deshan Xiao; Dong Zhang; Duo Zhang; Fangyue Liu; Feiyu Yang; Fengyuan Shi; Guoan Wang; Hao Tian; Hao Wu; Heng Qu; Hongfei Yi; Hongxu An; Hongyi Guan; Xing Zhang; Yifan Song; Yihan Yan; Yihao Zhao; Yingchun Lai; Yizhao Gao; Yu Cheng; Yuanyuan Tian; Yudong Wang; Zhen Tang; Zhengju Tang; Zhengtao Wen; Zhichao Song; Zhixian Zheng; Zihan Jiang; Jian Wen; Jiarui Sun; Jiawei Li; Jinlong Xue; Jun Xia; Kai Fang; Menghang Zhu; Nuo Chen; Qian Tu; Qihao Zhang; Qiying Wang; Rang Li; Rui Ma; Shaolei Zhang; Shengfan Wang; Shicheng Li; Shuhao Gu; Shuhuai Ren; Sirui Deng; Tao Guo; Tianyang Lu; Weiji Zhuang; Weikang Zhang; Weimin Xiong; Wenshan Huang; Wenyu Yang; Xin Zhang; Xing Yong; Xu Wang; Xueyang Xie; Yilin Jiang; Yixin Yang; Yongzhe He; Yu Tu; Yuanliang Dong; Yuchen Liu; Yue Ma; Yue Yu; Yuxing Xiang; Zhaojun Huang; Zhenru Lin; Zhipeng Xu; Zhiyang Chen; Zhonghua Deng; Zihan Zhang;, Zihao Yue2026 · 60 citations
  76. Rho-1: Not All Tokens Are What You NeedarXiv:2404.07965Zhenghao Lin, Zhibin Gou, Yeyun Gong, et al.2024 · 59 citations
  77. Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language ModelingarXiv:2406.07522Liliang Ren, Yang Liu, Yadong Lu, et al.2024 · 59 citations
  78. O1 Replication Journey — Part 2: Surpassing O1-preview through Simple Distillation, Big Progress or Bitter Lesson?arXiv:2411.16489Zhen Huang, Haoyang Zou, Xuefeng Li, et al.2024 · 58 citations
  79. Premise Order Matters in Reasoning with Large Language ModelsarXiv:2402.08939Xinyun Chen, Ryan A. Chi, Xuezhi Wang, et al.2024 · 58 citations
  80. Absolute Zero: Reinforced Self-play Reasoning with Zero DataConference on Neural Information Processing Systems (NeurIPS)Andrew Zhao, Yiran Wu, Yang Yue, et al.2025 · 57 citations
  81. Decision-Oriented Dialogue for Human-AI CollaborationTransactions of the Association for Computational Linguistics (TACL)Jessy Lin, Nicholas Tomlin, Jacob Andreas, et al.2024 · 57 citations
  82. Escape Sky-high Cost: Early-stopping Self-Consistency for Multi-step ReasoningarXiv:2401.10480Yiwei Li, Peiwen Yuan, Shaoxiong Feng, et al.2024 · 57 citations
  83. Clover: Closed-Loop Verifiable Code GenerationLecture notes in computer scienceChuyue Sun, Ying Sheng, Oded Padon, et al.2024 · 56 citations
  84. Parsel: Algorithmic Reasoning with Language Models by Composing DecompositionsConference on Neural Information Processing Systems (NeurIPS)Eric Zelikman, Qian Huang, Gabriel Poesia, et al.2023 · 56 citations
  85. Structural Language Models of CodearXiv:1910.00577Uri Alon, Roy Sadaka, Omer Levy, et al.2019 · 55 citations
  86. Granite Code Models: A Family of Open Foundation Models for Code IntelligencearXiv:2405.04324Mayank Mishra, Matt Stallone, Gaoyuan Zhang, et al.2024 · 54 citations
  87. Language Models Can Teach Themselves to Program BetterarXiv:2207.14502Patrick Haluptzok, Matthew Bowers, Adam Tauman Kalai2023 · 54 citations
  88. Q*: Improving Multi-step Reasoning for LLMs with Deliberative PlanningarXiv:2406.14283Chaojie Wang, Yanchen Deng, Zhiyi Lyu, et al.2024 · 53 citations
  89. RM-Bench: Benchmarking Reward Models of Language Models with Subtlety and StylearXiv:2410.16184Yantao Liu, Zijun Yao, Rui Min, et al.2024 · 53 citations
  90. Coder Reviewer Reranking for Code GenerationarXiv:2211.16490Tianyi Zhang, Tao Yu, Tatsunori B. Hashimoto, et al.2022 · 52 citations
  91. RLEF: Grounding Code LLMs in Execution Feedback with Reinforcement LearningarXiv:2410.02089Jonas Gehring, Kunhao Zheng, Jade Copet, et al.2024 · 51 citations
  92. XCodeEval: An Execution-based Large Scale Multilingual Multitask Benchmark for Code Understanding, Generation, Translation and RetrievalAnnual Meeting of the Association for Computational Linguistics (ACL)Mohammad Abdullah Matin Khan, M Saiful Bari, Xuan Long Do, et al.2024 · 51 citations
  93. MiniMax-01: Scaling Foundation Models with Lightning AttentionarXiv:2501.08313MiniMax, Aonian Li, Bangwei Gong, et al.2025 · 50 citations
  94. Agent-as-a-Judge: Evaluate Agents with AgentsarXiv:2410.10934Mingchen Zhuge, Changsheng Zhao, Dylan Ashley, et al.2024 · 50 citations
  95. Code Generation with AlphaCodium: From Prompt Engineering to Flow EngineeringarXiv:2401.08500Tal Ridnik, Dedy Kredo, Itamar Friedman2024 · 50 citations
  96. Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference FeedbackConference on Neural Information Processing Systems (NeurIPS)Hamish Ivison, Yizhong Wang, Jiacheng Liu, et al.2024 · 50 citations
  97. LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Fengqi Zhu, Rongzhen Wang, Shen Nie, et al.2026 · 49 citations
  98. Formal Mathematical Reasoning: A New Frontier in AIarXiv:2412.16075Kaiyu Yang, Gabriel Poesia, Jingxuan He, et al.2024 · 49 citations
  99. PanGu-Coder: Program Synthesis with Function-Level Language ModelingarXiv:2207.11280Fenia Christopoulou, Gerasimos Lampouras, Milan Gritta, et al.2022 · 49 citations
  100. Skywork-Reward-V2: Scaling Preference Data Curation via Human-AI SynergyarXiv:2507.01352Chris Yuhao Liu, Liang Zeng, Yuzhen Xiao, et al.2025 · 48 citations

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