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Who cites Bill Qian

724 citations of their works from 704 papers of our library (of the 149,439 whose bibliographies we read) · 245 with a page here, the most cited first · page 1 of 3 · 1–100 · ← Bill Qian

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  1. A Survey on Evaluation of Large Language ModelsACM Transactions on Intelligent Systems and TechnologyYupeng Chang, Xu Wang, Jindong Wang, et al.2023 · 3,648 citations
  2. A Survey of Large Language ModelsFrontiers of Computer ScienceWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,875 citations
  3. A Comprehensive Overview of Large Language ModelsACM Transactions on Intelligent Systems and TechnologyHumza Naveed, Asad Ullah Khan, Shi Qiu, et al.2023 · 1,287 citations
  4. C-Pack: Packed Resources For General Chinese EmbeddingsInternational ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)Shitao Xiao, Zheng Liu, Peitian Zhang, et al.2023 · 922 citations
  5. MetaGPT: Meta Programming for A Multi-Agent Collaborative FrameworkarXiv:2308.00352Sirui Hong, Mingchen Zhuge, Jiaqi Chen, et al.2023 · 630 citations
  6. Benchmarking Large Language Models in Retrieval-Augmented GenerationProceedings of the AAAI Conference on Artificial IntelligenceJiawei Chen, Hongyu Lin, Xianpei Han, et al.2023 · 629 citations
  7. LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for CodearXiv:2403.07974Naman Jain, King Han, Alex Gu, et al.2024 · 578 citations
  8. Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model ParametersarXiv:2408.03314Charlie Snell, Jaehoon Lee, Kelvin Xu, et al.2024 · 567 citations
  9. Tulu 3: Pushing Frontiers in Open Language Model Post-TrainingarXiv:2411.15124Nathan Lambert, Jacob Morrison, Valentina Pyatkin, et al.2024 · 423 citations
  10. ChatDev: Communicative Agents for Software DevelopmentarXiv:2307.07924Chen Qian, Wei Liu, Hongzhang Liu, et al.2023 · 385 citations
  11. Query Rewriting in Retrieval-Augmented Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Xinbei Ma, Yeyun Gong, Pengcheng He, et al.2023 · 384 citations
  12. Kimi K2: Open Agentic IntelligencearXiv:2507.20534Kimi Team, Yifan Bai, Yiping Bao, et al.2025 · 347 citations
  13. InternLM2 Technical ReportarXiv:2403.17297Zheng Cai, Maosong Cao, Haojiong Chen, et al.2024 · 301 citations
  14. API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMsConference on Empirical Methods in Natural Language Processing (EMNLP)Minghao Li, Yingxiu Zhao, Bowen Yu, et al.2023 · 286 citations
  15. On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A SurveyFindings of the Association for Computational LinguisticsLin Long, Rui Wang, Ruixuan Xiao, et al.2024 · 237 citations
  16. TrustLLM: Trustworthiness in Large Language ModelsarXiv:2401.05561Yue Huang, Lichao Sun, Haoran Wang, et al.2024 · 237 citations
  17. OpenHands: An Open Platform for AI Software Developers as Generalist AgentsarXiv:2407.16741Xingyao Wang, Boxuan Li, Yufan Song, et al.2024 · 221 citations
  18. AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent BehaviorsarXiv:2308.10848Weize Chen, Yusheng Su, Jingwei Zuo, et al.2023 · 217 citations
  19. Combating Misinformation in the Age of LLMs: Opportunities and ChallengesAI MagazineCanyu Chen, Kai Shu2023 · 214 citations
  20. Tool Learning with Large Language Models: A SurveyFrontiers of Computer ScienceChangle Qu, Sunhao Dai, Xiaochi Wei, et al.2024 · 195 citations
  21. InjecAgent: Benchmarking Indirect Prompt Injections in Tool-Integrated Large Language Model AgentsFindings of the Association for Computational LinguisticsQiusi Zhan, Zhixiang Liang, Zifan Ying, et al.2024 · 193 citations
  22. WebVoyager: Building an End-to-End Web Agent with Large Multimodal ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Hongliang He, Wenlin Yao, Kaixin Ma, et al.2024 · 191 citations
  23. RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language ModelsarXiv:2310.00746Zekun Moore Wang, Zhongyuan Peng, Haoran Que, et al.2023 · 187 citations
  24. Evaluating Large Language Models: A Comprehensive SurveyarXiv:2310.19736Zishan Guo, Renren Jin, Chuang Liu, et al.2023 · 182 citations
  25. ToolAlpaca: Generalized Tool Learning for Language Models with 3000 Simulated CasesarXiv:2306.05301Qiaoyu Tang, Ziliang Deng, Hongyu Lin, et al.2023 · 180 citations
  26. A-MEM: Agentic Memory for LLM AgentsConference on Neural Information Processing Systems (NeurIPS)Wujiang Xu, Zujie Liang, Kai Mei, et al.2025 · 178 citations
  27. Capabilities of Gemini Models in MedicinearXiv:2404.18416Khaled Saab, Tao Tu, Wei-Hung Weng, et al.2024 · 170 citations
  28. GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation ModelsarXiv:2508.06471Aohan Zeng, Xin Lv, Qinkai Zheng, et al.2025 · 166 citations
  29. Executable Code Actions Elicit Better LLM AgentsarXiv:2402.01030Xingyao Wang, Yangyi Chen, Lifan Yuan, et al.2024 · 165 citations
  30. AgentTuning: Enabling Generalized Agent Abilities for LLMsarXiv:2310.12823Aohan Zeng, Mingdao Liu, Rui Lu, et al.2023 · 163 citations
  31. A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and TrustworthinessACM Transactions on Intelligent Systems and TechnologyFali Wang, Zhiwei Zhang, Xianren Zhang, et al.2024 · 159 citations
  32. CodeAgent: Enhancing Code Generation with Tool-Integrated Agent Systems for Real-World Repo-level Coding ChallengesAnnual Meeting of the Association for Computational Linguistics (ACL)Kechi Zhang, Jia Li, Ge Li, et al.2024 · 150 citations
  33. MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language FeedbackarXiv:2309.10691Xingyao Wang, Zihan Wang, Jiateng Liu, et al.2023 · 141 citations
  34. Agent Laboratory: Using LLM Agents as Research AssistantsarXiv:2501.04227Samuel Schmidgall, Yusheng Su, Ze Wang, et al.2025 · 139 citations
  35. TravelPlanner: A Benchmark for Real-World Planning with Language AgentsarXiv:2402.01622Jian Xie, Kai Zhang, Jiangjie Chen, et al.2024 · 125 citations
  36. Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and FuturearXiv:2309.15402Zheng Chu, Jingchang Chen, Qianglong Chen, et al.2023 · 125 citations
  37. From Persona to Personalization: A Survey on Role-Playing Language AgentsarXiv:2404.18231Jiangjie Chen, Xintao Wang, Rui Xu, et al.2024 · 115 citations
  38. 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
  39. R-Judge: Benchmarking Safety Risk Awareness for LLM AgentsFindings of the Association for Computational LinguisticsTongxin Yuan, Zhiwei He, Lingzhong Dong, et al.2024 · 106 citations
  40. ToolACE: Winning the Points of LLM Function CallingarXiv:2409.00920Weiwen Liu; Xu Huang; Xingshan Zeng; Xinlong Hao; Shuai Yu; Dexun Li; Shuai Wang; Weinan Gan; Zhengying Liu; Yuanqing Yu; Zezhong Wang; Yuxian Wang; Wu Ning; Yutai Hou; Bin Wang; Chuhan Wu; Xinzhi Wang; Yong Liu; Yasheng Wang; Duyu Tang; Dandan Tu; Lifeng Shang; Xin Jiang; Ruiming Tang; Defu Lian; Qun Liu;, Enhong Chen2024 · 101 citations
  41. FireAct: Toward Language Agent Fine-tuningarXiv:2310.05915Baian Chen, Chang Shu, Ehsan Shareghi, et al.2023 · 101 citations
  42. Personal LLM Agents: Insights and Survey about the Capability, Efficiency and SecurityarXiv:2401.05459Yuanchun Li, Hao Wen, Weijun Wang, et al.2024 · 100 citations
  43. Optimizing Instructions and Demonstrations for Multi-Stage Language Model ProgramsConference on Empirical Methods in Natural Language Processing (EMNLP)Krista Opsahl-Ong, Michael J Ryan, Josh Purtell, et al.2024 · 99 citations
  44. Stance Detection with Collaborative Role-Infused LLM-Based AgentsProceedings of the International AAAI Conference on Web and Social MediaXiaochong Lan, Chen Gao, Depeng Jin, et al.2023 · 99 citations
  45. ToolRL: Reward is All Tool Learning NeedsarXiv:2504.13958Cheng Qian, Emre Can Acikgoz, Qi He, et al.2025 · 94 citations
  46. Advancing LLM Reasoning Generalists with Preference TreesarXiv:2404.02078Lifan Yuan, Ganqu Cui, Hanbin Wang, et al.2024 · 94 citations
  47. Data Interpreter: An LLM Agent for Data ScienceFindings of the Association for Computational LinguisticsSirui Hong, Yizhang Lin, Bang Liu, et al.2025 · 91 citations
  48. AgentBoard: An Analytical Evaluation Board of Multi-turn LLM AgentsConference on Neural Information Processing Systems (NeurIPS)Chang Ma, Junlei Zhang, Zhihao Zhu, et al.2024 · 90 citations
  49. Why Do Multi-Agent LLM Systems Fail?arXiv:2503.13657Mert Cemri, Melissa Z. Pan, Shuyi Yang, et al.2025 · 89 citations
  50. 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
  51. EfficientQAT: Efficient Quantization-Aware Training for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Mengzhao Chen, Wenqi Shao, Peng Xu, et al.2025 · 82 citations
  52. 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
  53. ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific DiscoveryarXiv:2410.05080Ziru Chen, Shijie Chen, Yuting Ning, et al.2024 · 81 citations
  54. MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to UsearXiv:2310.03128Yue Huang, Jiawen Shi, Yuan Li, et al.2023 · 81 citations
  55. AppWorld: A Controllable World of Apps and People for Benchmarking Interactive Coding AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Harsh Trivedi, Tushar Khot, Mareike Hartmann, et al.2024 · 80 citations
  56. τ²-Bench: Evaluating Conversational Agents in a Dual-Control EnvironmentarXiv:2506.07982Victor Barres, Honghua Dong, Soham Ray, et al.2025 · 76 citations
  57. ToolSandbox: A Stateful, Conversational, Interactive Evaluation Benchmark for LLM Tool Use CapabilitiesFindings of the Association for Computational LinguisticsJiarui Lu, Thomas Holleis, Yizhe Zhang, et al.2025 · 70 citations
  58. Scaling Large Language Model-based Multi-Agent CollaborationarXiv:2406.07155Chen Qian, Zihao Xie, YiFei Wang, et al.2024 · 70 citations
  59. Kevin: Multi-Turn RL for Generating CUDA KernelsarXiv 2025Carlo Baronio, Pietro Marsella, Ben Pan, et al.2025 · 69 citations
  60. MultiAgentBench: Evaluating the Collaboration and Competition of LLM agentsAnnual Meeting of the Association for Computational Linguistics (ACL)Kunlun Zhu, Hongyi Du, Zhaochen Hong, et al.2025 · 69 citations
  61. xLAM: A Family of Large Action Models to Empower AI Agent SystemsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Jianguo Zhang, Tian Lan, Ming Zhu, et al.2025 · 68 citations
  62. TheAgentCompany: Benchmarking LLM Agents on Consequential Real World TasksConference on Neural Information Processing Systems (NeurIPS)Frank F. Xu, Yufan Song, Boxuan Li, et al.2024 · 68 citations
  63. Small LLMs Are Weak Tool Learners: A Multi-LLM AgentConference on Empirical Methods in Natural Language Processing (EMNLP)Weizhou Shen, Chenliang Li, Hongzhan Chen, et al.2024 · 65 citations
  64. A Comprehensive Survey on Long Context Language ModelingarXiv:2503.17407Jiaheng Liu, Dawei Zhu, Zhiqi Bai, et al.2025 · 64 citations
  65. 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
  66. Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language ModelsFindings of the Association for Computational LinguisticsZehui Chen, Kuikun Liu, Qiuchen Wang, et al.2024 · 64 citations
  67. LegalAgentBench: Evaluating LLM Agents in Legal DomainAnnual Meeting of the Association for Computational Linguistics (ACL)Haitao Li, Junjie Chen, Jingli Yang, et al.2025 · 62 citations
  68. OpenAgents: An Open Platform for Language Agents in the WildarXiv:2310.10634Tianbao Xie, Fan Zhou, Zhoujun Cheng, et al.2023 · 62 citations
  69. Teaching Large Language Models to Reason with Reinforcement LearningarXiv:2403.04642Alex Havrilla, Yuqing Du, Sharath Chandra Raparthy, et al.2024 · 61 citations
  70. SciAgent: Tool-augmented Language Models for Scientific ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Yubo Ma, Zhibin Gou, Junheng Hao, et al.2024 · 55 citations
  71. StableToolBench: Towards Stable Large-Scale Benchmarking on Tool Learning of Large Language ModelsarXiv:2403.07714Zhicheng Guo, Sijie Cheng, Hao Wang, et al.2024 · 55 citations
  72. Magentic-One: A Generalist Multi-Agent System for Solving Complex TasksarXiv:2411.04468Adam Fourney, Gagan Bansal, Hussein Mozannar, et al.2024 · 54 citations
  73. Agent-Pro: Learning to Evolve via Policy-Level Reflection and OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)Wenqi Zhang, Ke Tang, Hai Wu, et al.2024 · 52 citations
  74. 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
  75. BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous AgentsarXiv:2308.05960Zhiwei Liu, Weiran Yao, Jianguo Zhang, et al.2023 · 51 citations
  76. MLGym: A New Framework and Benchmark for Advancing AI Research AgentsarXiv:2502.14499Deepak Nathani, Lovish Madaan, Nicholas Roberts, et al.2025 · 50 citations
  77. Agent-as-a-Judge: Evaluate Agents with AgentsarXiv:2410.10934Mingchen Zhuge, Changsheng Zhao, Dylan Ashley, et al.2024 · 50 citations
  78. HiAgent: Hierarchical Working Memory Management for Solving Long-Horizon Agent Tasks with Large Language ModelAnnual Meeting of the Association for Computational Linguistics (ACL)Mengkang Hu, Tianxing Chen, Qiguang Chen, et al.2025 · 49 citations
  79. Darwin Godel Machine: Open-Ended Evolution of Self-Improving AgentsarXiv:2505.22954Jenny Zhang, Shengran Hu, Cong Lu, et al.2025 · 47 citations
  80. RE-Bench: Evaluating frontier AI R&D capabilities of language model agents against human expertsarXiv:2411.15114Hjalmar Wijk, Tao Lin, Joel Becker, et al.2024 · 46 citations
  81. AgentInstruct: Toward Generative Teaching with Agentic FlowsarXiv:2407.03502Arindam Mitra, Luciano Del Corro, Guoqing Zheng, et al.2024 · 42 citations
  82. xCodeEval: A Large Scale Multilingual Multitask Benchmark for Code Understanding, Generation, Translation and RetrievalarXiv:2303.03004Mohammad Abdullah Matin Khan, M Saiful Bari, Xuan Long Do, et al.2023 · 42 citations
  83. The Danger of Overthinking: Examining the Reasoning-Action Dilemma in Agentic TasksarXiv:2502.08235Alejandro Cuadron, Dacheng Li, Wenjie Ma, et al.2025 · 41 citations
  84. Corex: Pushing the Boundaries of Complex Reasoning through Multi-Model CollaborationarXiv:2310.00280Qiushi Sun, Zhangyue Yin, Xiang Li, et al.2023 · 41 citations
  85. FollowIR: Evaluating and Teaching Information Retrieval Models to Follow InstructionsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Orion Weller, Benjamin Chang, Sean MacAvaney, et al.2025 · 40 citations
  86. AgentRxiv: Towards Collaborative Autonomous ResearcharXiv:2503.18102Samuel Schmidgall, Michael Moor2025 · 39 citations
  87. BioCoder: A Benchmark for Bioinformatics Code Generation with Large Language ModelsBioinformaticsXiangru Tang, Bill Qian, Rick Gao, et al.2023 · 38 citations
  88. Dynamic Cheatsheet: Test-Time Learning with Adaptive MemoryConference of the European Chapter of the Association for Computational Linguistics (EACL)Mirac Suzgun, Mert Yuksekgonul, Federico Bianchi, et al.2026 · 37 citations
  89. A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super IntelligencearXiv:2507.21046Huan-ang Gao, Jiayi Geng, Wenyue Hua, et al.2025 · 36 citations
  90. Measuring AI Ability to Complete Long Software TasksConference on Neural Information Processing Systems (NeurIPS)Thomas Kwa, Ben West, Joel Becker, et al.2025 · 36 citations
  91. ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world ScenariosInternational Conference on Computational Linguistics (COLING)Junjie Ye, Guanyu Li, SongYang Gao, et al.2025 · 35 citations
  92. ML-Bench: Evaluating Large Language Models and Agents for Machine Learning Tasks on Repository-Level CodearXiv:2311.09835Xiangru Tang, Yuliang Liu, Zefan Cai, et al.2023 · 33 citations
  93. SelfCodeAlign: Self-Alignment for Code GenerationConference on Neural Information Processing Systems (NeurIPS)Yuxiang Wei, Federico Cassano, Jiawei Liu, et al.2024 · 32 citations
  94. CRMArena: Understanding the Capacity of LLM Agents to Perform Professional CRM Tasks in Realistic EnvironmentsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Kung-Hsiang Huang, Akshara Prabhakar, Sidharth Dhawan, et al.2025 · 30 citations
  95. LLM Agents Making Agent ToolsAnnual Meeting of the Association for Computational Linguistics (ACL)Georg Wölflein, Dyke Ferber, Daniel Truhn, et al.2025 · 27 citations
  96. LocAgent: Graph-Guided LLM Agents for Code LocalizationAnnual Meeting of the Association for Computational Linguistics (ACL)Zhaoling Chen, Robert Tang, Gangda Deng, et al.2025 · 27 citations
  97. Nemotron 3 Nano: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic ReasoningarXiv:2512.20848NVIDIA: Aaron Blakeman, Aaron Grattafiori, Aarti Basant, et al.2025 · 27 citations
  98. The Task Shield: Enforcing Task Alignment to Defend Against Indirect Prompt Injection in LLM AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Feiran Jia, Tong Wu, Xin Qin, et al.2025 · 27 citations
  99. UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement LearningarXiv:2509.02544Haoming Wang, Haoyang Zou, Huatong Song, et al.2025 · 26 citations
  100. 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

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