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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 4 of 5 · 301–400 · ← Maxwell Nye

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  1. Gentopia: A Collaborative Platform for Tool-Augmented LLMsarXiv:2308.04030Binfeng Xu, Xukun Liu, Hua Shen, et al.2023 · 15 citations
  2. WorldSense: A Synthetic Benchmark for Grounded Reasoning in Large Language ModelsarXiv:2311.15930Youssef Benchekroun, Megi Dervishi, Mark Ibrahim, et al.2023 · 15 citations
  3. FBS: Modeling Native Parallel Reading inside a TransformerFindings of the Association for Computational LinguisticsTongxi Wang2026 · 14 citations
  4. CodeJudgeBench: Benchmarking LLM-as-a-Judge for Coding TasksAnnual Meeting of the Association for Computational Linguistics (ACL)Hongchao Jiang, Yiming Chen, Yushi Cao, et al.2026 · 13 citations
  5. TigerCoder: A Novel Suite of LLMs for Code Generation in BanglaLanguage Resources and Evaluation Conference (LREC)Nishat Raihan, Antonios Anastasopoulos, Marcos Zampieri2026 · 13 citations
  6. Prompting Large Language Models to Tackle the Full Software Development Lifecycle: A Case StudyInternational Conference on Computational Linguistics (COLING)Bowen Li, Wenhan Wu, Ziwei Tang, et al.2025 · 13 citations
  7. Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive SearcharXiv:2502.02508Maohao Shen, Guangtao Zeng, Zhenting Qi, et al.2025 · 13 citations
  8. MdEval: Massively Multilingual Code DebuggingFindings of the Association for Computational LinguisticsShukai Liu, Linzheng Chai, Jian Yang, et al.2026 · 12 citations
  9. LMR-BENCH: Evaluating LLM Agent's Ability on Reproducing Language Modeling ResearcharXiv:2506.17335Shuo Yan, Ruochen Li, Ziming Luo, et al.2025 · 12 citations
  10. MorphMark: Flexible Adaptive Watermarking for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zongqi Wang, Tianle Gu, Baoyuan Wu, et al.2025 · 12 citations
  11. TRAIL: Trace Reasoning and Agentic Issue LocalizationarXiv:2505.08638Darshan Deshpande, Varun Gangal, Hersh Mehta, et al.2025 · 12 citations
  12. H-ARC: A Robust Estimate of Human Performance on the Abstraction and Reasoning Corpus BenchmarkarXiv:2409.01374Solim LeGris, Wai Keen Vong, Brenden M. Lake, et al.2024 · 12 citations
  13. Maximize Your Data's Potential: Enhancing LLM Accuracy with Two-Phase PretrainingarXiv:2412.15285Steven Feng, Shrimai Prabhumoye, Kezhi Kong, et al.2024 · 12 citations
  14. Process Supervision-Guided Policy Optimization for Code GenerationarXiv:2410.17621Ning Dai, Zheng Wu, Renjie Zheng, et al.2024 · 12 citations
  15. Balancing Diversity and Risk in LLM Sampling: How to Select Your Method and Parameter for Open-Ended Text GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Yuxuan Zhou, Margret Keuper, Mario Fritz2025 · 11 citations
  16. Condor: Enhance LLM Alignment with Knowledge-Driven Data Synthesis and RefinementAnnual Meeting of the Association for Computational Linguistics (ACL)Maosong Cao, Taolin Zhang, Mo Li, et al.2025 · 11 citations
  17. Hit the Sweet Spot! Span-Level Ensemble for Large Language ModelsInternational Conference on Computational Linguistics (COLING)Yangyifan Xu, Jianghao Chen, Junhong Wu, et al.2025 · 11 citations
  18. MDCure: A Scalable Pipeline for Multi-Document Instruction-FollowingAnnual Meeting of the Association for Computational Linguistics (ACL)Gabrielle Kaili-May Liu, Bowen Shi, Avi Caciularu, et al.2025 · 11 citations
  19. AlphaVerus: Bootstrapping Formally Verified Code Generation through Self-Improving Translation and TreefinementarXiv:2412.06176Pranjal Aggarwal, Bryan Parno, Sean Welleck2024 · 11 citations
  20. E-EVAL: A Comprehensive Chinese K-12 Education Evaluation Benchmark for Large Language ModelsarXiv:2401.15927Jinchang Hou, Chang Ao, Haihong Wu, et al.2024 · 11 citations
  21. EffiCoder: Enhancing Code Generation in Large Language Models through Efficiency-Aware Fine-tuningarXiv:2410.10209Dong Huang, Guangtao Zeng, Jianbo Dai, et al.2024 · 11 citations
  22. MIND: Math Informed syNthetic Dialogues for Pretraining LLMsarXiv:2410.12881Syeda Nahida Akter, Shrimai Prabhumoye, John Kamalu, et al.2024 · 11 citations
  23. Yi-Lightning Technical ReportarXiv:2412.01253Alan Wake, Bei Chen, C.X. Lv, et al.2024 · 11 citations
  24. Backdoors in RLVR: Jailbreak Backdoors in LLMs From Verifiable RewardAnnual Meeting of the Association for Computational Linguistics (ACL)Weiyang Guo, Zesheng Shi, Zeen Zhu, et al.2026 · 10 citations
  25. Hunyuan-TurboS: Advancing Large Language Models through Mamba-Transformer Synergy and Adaptive Chain-of-ThoughtarXiv:2505.15431Tencent Hunyuan Team, Ao Liu, Botong Zhou, et al.2025 · 10 citations
  26. Implicit Reasoning in Large Language Models: A Comprehensive SurveyarXiv:2509.02350Jindong Li, Yali Fu, Li Fan, et al.2025 · 10 citations
  27. Progress or Regress? Self-Improvement Reversal in Post-trainingarXiv:2407.05013Ting Wu, Xuefeng Li, Pengfei Liu2024 · 10 citations
  28. MTR-Bench: A Comprehensive Benchmark for Multi-Turn Reasoning EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaoyuan Li, Keqin Bao, Yubo Ma, et al.2026 · 9 citations
  29. Web-Bench: A LLM Code Benchmark Based on Web Standards and FrameworksarXiv:2505.07473Kai Xu, YiWei Mao, XinYi Guan, et al.2025 · 9 citations
  30. CodeS: Natural Language to Code Repository via Multi-Layer SketcharXiv:2403.16443Daoguang Zan, Ailun Yu, Wei Liu, et al.2024 · 9 citations
  31. Stable Code Technical ReportarXiv:2404.01226Nikhil Pinnaparaju, Reshinth Adithyan, Duy Phung, et al.2024 · 9 citations
  32. ATLAS: Orchestrating Heterogeneous Models and Tools for Multi-Domain Complex ReasoningFindings of the Association for Computational LinguisticsJinyang Wu, Guocheng Zhai, Ruihan Jin, et al.2026 · 8 citations
  33. Nature-Inspired Population-Based Evolution of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yiqun Zhang, Peng Ye, Xiaocui Yang, et al.2026 · 8 citations
  34. Retrieval as Generation: A Unified Framework with Self-Triggered Information PlanningAnnual Meeting of the Association for Computational Linguistics (ACL)Bo Li, Mingda Wang, Gexiang Fang, et al.2026 · 8 citations
  35. EquiBench: Benchmarking Large Language Models' Reasoning about Program Semantics via Equivalence CheckingConference on Empirical Methods in Natural Language Processing (EMNLP)Anjiang Wei, Jiannan Cao, Ran Li, et al.2025 · 8 citations
  36. Evaluating Arabic Large Language Models: A Survey of Benchmarks, Methods, and GapsarXiv:2510.13430Ahmed Alzubaidi, Shaikha Alsuwaidi, Basma El Amel Boussaha, et al.2025 · 8 citations
  37. Genius: A Generalizable and Purely Unsupervised Self-Training Framework For Advanced ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Fangzhi Xu, Hang Yan, Chang Ma, et al.2025 · 8 citations
  38. M2RC-EVAL: Massively Multilingual Repository-level Code Completion EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Jiaheng Liu, Ken Deng, Congnan Liu, et al.2025 · 8 citations
  39. Pangu Ultra MoE: How to Train Your Big MoE on Ascend NPUsarXiv:2505.04519Yehui Tang, Yichun Yin, Yaoyuan Wang, et al.2025 · 8 citations
  40. rStar-Coder: Scaling Competitive Code Reasoning with a Large-Scale Verified DatasetConference on Neural Information Processing Systems (NeurIPS)Yifei Liu, Li Lyna Zhang, Yi Zhu, et al.2025 · 8 citations
  41. Towards Understanding Distilled Reasoning Models: A Representational ApproacharXiv:2503.03730 · ICLR 2025 Workshop on Building Trust in Language Models and ApplicationsDavid D. Baek, Max Tegmark2025 · 8 citations
  42. CodeHacker: Automated Test Case Generation for Detecting Vulnerabilities in Competitive Programming SolutionsAnnual Meeting of the Association for Computational Linguistics (ACL)Jingwei Shi, Xinxiang Yin, Jing Huang, et al.2026 · 7 citations
  43. ERNIE 5.0 Technical ReportarXiv:2602.04705Haifeng Wang, Hua Wu, Tian Wu, et al.2026 · 7 citations
  44. Red Teaming Large Reasoning ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jiawei Chen, Yang Yang, Chao Yu, et al.2026 · 7 citations
  45. Deliberate Reasoning in Language Models as Structure-Aware Planning with an Accurate World ModelAnnual Meeting of the Association for Computational Linguistics (ACL)Siheng Xiong, Ali Payani, Yuan Yang, et al.2025 · 7 citations
  46. ICLEval: Evaluating In-Context Learning Ability of Large Language ModelsInternational Conference on Computational Linguistics (COLING)Wentong Chen, Yankai Lin, ZhenHao Zhou, et al.2025 · 7 citations
  47. GRIN: GRadient-INformed MoEarXiv:2409.12136Liyuan Liu, Young Jin Kim, Shuohang Wang, et al.2024 · 7 citations
  48. CreativeBench: Benchmarking and Enhancing Machine Creativity via Self-Evolving ChallengesFindings of the Association for Computational LinguisticsZihan Wang, Lam Nguyen, Zhengyang Zhao, et al.2026 · 6 citations
  49. Explain in Your Own Words: Improving Reasoning via Token-Selective Dual Knowledge DistillationarXiv:2603.13260Minsang Kim, Seung Jun Baek2026 · 6 citations
  50. Feedback-Driven Tool-Use Improvements in Large Language Models via Automated Build EnvironmentsFindings of the Association for Computational LinguisticsJunjie Ye, Changhao Jiang, Zhengyin Du, et al.2026 · 6 citations
  51. BeamLoRA: Beam-Constraint Low-Rank AdaptationAnnual Meeting of the Association for Computational Linguistics (ACL)Naibin Gu, Zhenyu Zhang, Xiyu Liu, et al.2025 · 6 citations
  52. FineReason: Evaluating and Improving LLMs' Deliberate Reasoning through Reflective Puzzle SolvingAnnual Meeting of the Association for Computational Linguistics (ACL)Guizhen Chen, Weiwen Xu, Hao Zhang, et al.2025 · 6 citations
  53. Front-Loading Reasoning: The Synergy between Pretraining and Post-Training DataarXiv:2510.03264Syeda Nahida Akter, Shrimai Prabhumoye, Eric Nyberg, et al.2025 · 6 citations
  54. Pangu Ultra: Pushing the Limits of Dense Large Language Models on Ascend NPUsarXiv:2504.07866Yichun Yin, Wenyong Huang, Kaikai Song, et al.2025 · 6 citations
  55. A Study of LLMs' Preferences for Libraries and Programming LanguagesFindings of the Association for Computational LinguisticsLukas Twist, Mark Harman, Don Syme, et al.2026 · 5 citations
  56. ARCQuant: Boosting NVFP4 Quantization with Augmented Residual Channels for LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Haoqian Meng, Yilun Luo, Yafei Zhao, et al.2026 · 5 citations
  57. CODERL+: Improving Code Generation via Reinforcement with Execution Semantics AlignmentAnnual Meeting of the Association for Computational Linguistics (ACL)Xue Jiang, Yihong Dong, Mengyang Liu, et al.2026 · 5 citations
  58. MiniCPM-o 4.5: Towards Real-Time Full-Duplex Omni-Modal InteractionarXiv:2604.27393Junbo Cui, Bokai Xu, Chongyi Wang, et al.2026 · 5 citations
  59. LED-Merging: Mitigating Safety-Utility Conflicts in Model Merging with Location-Election-DisjointAnnual Meeting of the Association for Computational Linguistics (ACL)Qianli Ma, Dongrui Liu, Qian Chen, et al.2025 · 5 citations
  60. ZERA: Zero-init Instruction Evolving Refinement Agent – From Zero Instructions to Structured Prompts via Principle-based OptimizationConference on Empirical Methods in Natural Language Processing (EMNLP)Seungyoun Yi, Minsoo Khang, Sungrae Park2025 · 5 citations
  61. MulDimIF: A Multi-Dimensional Constraint Framework for Evaluating and Improving Instruction Following in Large Language ModelsFindings of the Association for Computational LinguisticsJunjie Ye, Caishuang Huang, Zhuohan Chen, et al.2026 · 4 citations
  62. OctoBench: Benchmarking Scaffold-Aware Instruction Following in Repository-Grounded Agentic CodingAnnual Meeting of the Association for Computational Linguistics (ACL)Deming Ding, Shichun Liu, Enhui Yang, et al.2026 · 4 citations
  63. d2: Improving Reasoning in Diffusion Language Models via Trajectory Likelihood EstimationarXiv:2509.21474Guanghan Wang, Gilad Turok, Yair Schiff, et al.2025 · 4 citations
  64. Every FLOP Counts: Scaling a 300B Mixture-of-Experts LING LLM without Premium GPUsarXiv:2503.05139Ling Team; Binwei Zeng; Chao Huang; Chao Zhang; Changxin Tian; Cong Chen; Dingnan Jin; Feng Yu; Feng Zhu; Feng Yuan; Fakang Wang; Gangshan Wang; Guangyao Zhai; Haitao Zhang; Huizhong Li; Jun Zhou; Jia Liu; Junpeng Fang; Junjie Ou; Jun Hu; Ji Luo; Ji Zhang; Jian Liu; Jian Sha; Jianxue Qian; Jiewei Wu; Junping Zhao; Jianguo Li; Jubao Feng; Jingchao Di; Junming Xu; Jinghua Yao; Kuan Xu; Kewei Du; Longfei Li; Lei Liang; Lu Yu; Li Tang; Lin Ju; Peng Xu; Qing Cui; Song Liu; Shicheng Li; Shun Song; Song Yan; Tengwei Cai; Tianyi Chen; Ting Guo; Ting Huang; Tao Feng; Tao Wu; Wei Wu; Xiaolu Zhang; Xueming Yang; Xin Zhao; Xiaobo Hu; Xin Lin; Yao Zhao; Yilong Wang; Yongzhen Guo; Yuanyuan Wang; Yue Yang; Yang Cao; Yuhao Fu; Yi Xiong; Yanzhe Li; Zhe Li; Zhiqiang Zhang; Ziqi Liu; Zhaoxin Huan; Zujie Wen; Zhenhang Sun; Zhuoxuan Du;, Zhengyu He2025 · 4 citations
  65. Less is More: Selective Reflection for Compatible and Efficient Knowledge Distillation in Large Language ModelsarXiv:2508.06135Lingyuan Liu, Mengxiang Zhang2025 · 4 citations
  66. Pangu Pro MoE: Mixture of Grouped Experts for Efficient SparsityarXiv:2505.21411Yehui Tang, Xiaosong Li, Fangcheng Liu, et al.2025 · 4 citations
  67. Behavior Knowledge Merge in Reinforced Agentic ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Xiangchi Yuan, Dachuan Shi, Chunhui Zhang, et al.2026 · 3 citations
  68. dLLM: Simple Diffusion Language ModelingAnnual Meeting of the Association for Computational Linguistics (ACL)Zhanhui Zhou, Lingjie Chen, Hanghang Tong, et al.2026 · 3 citations
  69. Learning While Staying Curious: Entropy-Preserving Supervised Fine-Tuning via Adaptive Self-Distillation for Large Reasoning ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Hao Wang, Hao Gu, Hongming Piao, et al.2026 · 3 citations
  70. Qwen-Scope: Turning Sparse Features into Development Tools for Large Language ModelsarXiv:2605.11887Boyi Deng, Xu Wang, Yaoning Wang, et al.2026 · 3 citations
  71. Skill Discovery for Software Scripting Automation via Offline Simulations with LLMsFindings of the Association for Computational LinguisticsPaiheng Xu, Gang Wu, Xiang Chen, et al.2026 · 3 citations
  72. TreeDiff: AST-Guided Code Generation with Diffusion LLMsWorkshop on Structured Understanding, Retrieval, and Generation in the LLM EraYiming Zeng, Jinghan Cao, Zexin Li, et al.2026 · 3 citations
  73. Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMsarXiv:2506.19290Liang Zeng, Yongcong Li, Yuzhen Xiao, et al.2025 · 3 citations
  74. From Statistical Relational to Neurosymbolic Artificial Intelligence: a SurveyarXiv:2108.11451Giuseppe Marra, Sebastijan Dumančić, Robin Manhaeve, et al.2021 · 3 citations
  75. A Sovereign, Open-Source Foundation Model for German and EnglisharXiv:2607.09424Soofi-Team: Benedikt Droste, David Fitzek, Ruben Harle, et al.2026 · 2 citations
  76. AutoMonitor-Bench: Evaluating the Reliability of LLM-Based Misbehavior MonitorFindings of the Association for Computational LinguisticsShu Yang, Jingyu Hu, Tong Li, et al.2026 · 2 citations
  77. MiniCPM-SALA: Hybridizing Sparse and Linear Attention for Efficient Long-Context ModelingarXiv:2602.11761MiniCPM Team, Wenhao An, Yingfa Chen, et al.2026 · 2 citations
  78. RedOne 2.0: Rethinking Domain-specific LLM Post-Training in Social Networking ServicesAnnual Meeting of the Association for Computational Linguistics (ACL)Fei zhao, Chonggang Lu, Haofu Qian, et al.2026 · 2 citations
  79. Why Do More Experts Fail? A Theoretical Analysis of Model MergingAnnual Meeting of the Association for Computational Linguistics (ACL)Zijing Wang, Xingle Xu, YongKang Liu, et al.2026 · 2 citations
  80. Among Us: Measuring and Mitigating Malicious Contributions in Model Collaboration SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Ziyuan Yang, Wenxuan Ding, Shangbin Feng, et al.2026 · 1 citation
  81. Be Your Own Red Teamer: Safety Alignment via Self-Play and Reflective Experience ReplayFindings of the Association for Computational LinguisticsHao Wang, Yanting Wang, Hao Li, et al.2026 · 1 citation
  82. Can LLMs Compress (and Decompress)? Evaluating Code Understanding and Execution via InvertibilityFindings of the Association for Computational LinguisticsNickil Maveli, Antonio Vergari, Shay B Cohen2026 · 1 citation
  83. Can Models Help Us Create Better Models? Evaluating LLMs as Data ScientistsFindings of the Association for Computational LinguisticsMichał Pietruszka, Łukasz Borchmann, Aleksander Jędrosz, et al.2026 · 1 citation
  84. CodeEvo: Interaction-Driven Synthesis of Code-centric Data through Hybrid and Iterative FeedbackAnnual Meeting of the Association for Computational Linguistics (ACL)Qiushi Sun, Jingyang Gong, Lei Li, et al.2026 · 1 citation
  85. CodeFlowBench: A Multi-turn, Iterative Benchmark for Complex Code GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Sizhe Wang, Zhengren Wang, Dongsheng Ma, et al.2026 · 1 citation
  86. CodeMEM: AST-Guided Adaptive Memory for Repository-Level Iterative Code GenerationFindings of the Association for Computational LinguisticsPeiding Wang, Li Zhang, Fang Liu, et al.2026 · 1 citation
  87. Compiling Activation Steering into Weights via Null-Space Constraints for Stealthy BackdoorsAnnual Meeting of the Association for Computational Linguistics (ACL)Rui Yin, Tianxu Han, Naen Xu, et al.2026 · 1 citation
  88. Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-trainingAnnual Meeting of the Association for Computational Linguistics (ACL)Kailai Yang, Xiao Liu, Lei Ji, et al.2026 · 1 citation
  89. EVM-QuestBench: An Execution-Grounded Benchmark for Natural-Language Transaction Code GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Pei Yang, Wanyi Chen, Ke Wang, et al.2026 · 1 citation
  90. Hunyuan-A13B Technical ReportarXiv:2609.27284Tencent Hunyuan Team, Ao Liu, Botong Zhou, et al.2026 · 1 citation
  91. PBEBench: A Multi-Step Programming by Examples Reasoning Benchmark inspired by Historical LinguisticsFindings of the Association for Computational LinguisticsAtharva Naik, Darsh Agrawal, Prakam, et al.2026 · 1 citation
  92. RealSec-bench: A Benchmark for Evaluating Secure Code Generation in Real-World RepositoriesFindings of the Association for Computational LinguisticsYanlin Wang, Ziyao Zhang, Chong Wang, et al.2026 · 1 citation
  93. RepoGenesis: Benchmarking End-to-End Microservice Generation from Readme to RepositoryAnnual Meeting of the Association for Computational Linguistics (ACL)Zhiyuan Peng, Xin Yin, Pu Zhao, et al.2026 · 1 citation
  94. Scaling Test-Time Compute to Achieve IOI Gold Medal with Open-Weight ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Mehrzad Samadi, Aleksander Ficek, Sean Narenthiran, et al.2026 · 1 citation
  95. SpecAgent: A Speculative Retrieval and Forecasting Agent for Code CompletionAnnual Meeting of the Association for Computational Linguistics (ACL)George Ma, Anurag Koul, Qi Chen, et al.2026 · 1 citation
  96. SWE-Mutation: Can LLMs Generate Reliable Test Suites in Software Engineering?Findings of the Association for Computational LinguisticsYuxuan Sun, Yuze Zhao, Yufeng Wang, et al.2026 · 1 citation
  97. UCoder: Unsupervised Code Generation by Internal Probing of Large Language ModelsFindings of the Association for Computational LinguisticsJiajun Wu, Jian Yang, Wei Zhang, et al.2026 · 1 citation
  98. Should Code Models Learn Pedagogically? A Preliminary Evaluation of Curriculum Learning for Real-World Software Engineering TasksarXiv:2502.03806Kyi Shin Khant, Hong Yi Lin, Patanamon Thongtanunam2025 · 1 citation
  99. Deep Learning Based Code Generation Methods: Literature Review (基于深度学习的代码生成方法研究进展)Journal of SoftwareZezhou Yang (杨泽洲), Sirong Chen (陈思榕), Cuiyun Gao (高翠芸), et al.2023 · 1 citation
  100. A Scalable Multi-LLM Collaboration System with Retrieval-based Selection and Exploration-Exploitation-Driven EnhancementAnnual Meeting of the Association for Computational Linguistics (ACL)Shengji Tang, Jianjian Cao, Weihao Lin, et al.2026

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