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Who cites Mark Gerstein

735 citations of their works from 710 papers of our library (of the 140,884 whose bibliographies we read) · 40 with a page here, the most cited first · ← Mark Gerstein

  1. A Survey on Evaluation of Large Language ModelsYupeng Chang, Xu Wang, Jindong Wang, et al.2023 · 3,640 citations
  2. A Survey of Large Language ModelsWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,847 citations
  3. A Comprehensive Overview of Large Language ModelsHumza Naveed, Asad Ullah Khan, Shi Qiu, et al.2023 · 1,286 citations
  4. C-Pack: Packed Resources For General Chinese EmbeddingsShitao Xiao, Zheng Liu, Peitian Zhang, et al.2023 · 920 citations
  5. Benchmarking Large Language Models in Retrieval-Augmented GenerationJiawei Chen, Hongyu Lin, Xianpei Han, et al.2023 · 624 citations
  6. MetaGPT: Meta Programming for A Multi-Agent Collaborative FrameworkSirui Hong, Mingchen Zhuge, Jiaqi Chen, et al.2023 · 615 citations
  7. LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for CodeNaman Jain, King Han, Alex Gu, et al.2024 · 540 citations
  8. Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model ParametersCharlie Snell, Jaehoon Lee, Kelvin Xu, et al.2024 · 524 citations
  9. SWE-agent: Agent-Computer Interfaces Enable Automated Software EngineeringJohn Yang, Carlos E. Jimenez, Alexander Wettig, et al.2024 · 507 citations
  10. Query Rewriting in Retrieval-Augmented Large Language ModelsXinbei Ma, Yeyun Gong, Pengcheng He, et al.2023 · 383 citations
  11. ChatDev: Communicative Agents for Software DevelopmentChen Qian, Wei Liu, Hongzhang Liu, et al.2023 · 373 citations
  12. Kimi K2: Open Agentic IntelligenceKimi Team, Yifan Bai, Yiping Bao, et al.2025 · 331 citations
  13. InternLM2 Technical ReportZheng Cai, Maosong Cao, Haojiong Chen, et al.2024 · 299 citations
  14. Large Language Model based Multi-Agents: A Survey of Progress and ChallengesTaicheng Guo, Xiuying Chen, Yaqi Wang, et al.2024 · 282 citations
  15. API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMsMinghao Li, Yingxiu Zhao, Bowen Yu, et al.2023 · 281 citations
  16. Hallucination-Free? Assessing the Reliability of Leading AI Legal Research ToolsVarun Magesh, Faiz Surani, Matthew Dahl, et al.2024 · 267 citations
  17. On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A SurveyLin Long, Rui Wang, Ruixuan Xiao, et al.2024 · 236 citations
  18. TrustLLM: Trustworthiness in Large Language ModelsYue Huang, Lichao Sun, Haoran Wang, et al.2024 · 226 citations
  19. AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent BehaviorsWeize Chen, Yusheng Su, Jingwei Zuo, et al.2023 · 210 citations
  20. OpenHands: An Open Platform for AI Software Developers as Generalist AgentsXingyao Wang, Boxuan Li, Yufan Song, et al.2024 · 190 citations
  21. RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language ModelsZekun Moore Wang, Zhongyuan Peng, Haoran Que, et al.2023 · 186 citations
  22. Two Tales of Persona in LLMs: A Survey of Role-Playing and PersonalizationYu-Min Tseng, Yu-Chao Huang, Teng-Yun Hsiao, et al.2024 · 177 citations
  23. Evaluating Large Language Models: A Comprehensive SurveyZishan Guo, Renren Jin, Chuang Liu, et al.2023 · 177 citations
  24. ToolAlpaca: Generalized Tool Learning for Language Models with 3000 Simulated CasesQiaoyu Tang, Ziliang Deng, Hongyu Lin, et al.2023 · 172 citations
  25. WebVoyager: Building an End-to-End Web Agent with Large Multimodal ModelsHongliang He, Wenlin Yao, Kaixin Ma, et al.2024 · 168 citations
  26. AgentTuning: Enabling Generalized Agent Abilities for LLMsAohan Zeng, Mingdao Liu, Rui Lu, et al.2023 · 158 citations
  27. Executable Code Actions Elicit Better LLM AgentsXingyao Wang, Yangyi Chen, Lifan Yuan, et al.2024 · 143 citations
  28. Agent Laboratory: Using LLM Agents as Research AssistantsSamuel Schmidgall, Yusheng Su, Ze Wang, et al.2025 · 136 citations
  29. MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language FeedbackXingyao Wang, Zihan Wang, Jiateng Liu, et al.2023 · 136 citations
  30. MLE-bench: Evaluating Machine Learning Agents on Machine Learning EngineeringJun Shern Chan, Neil Chowdhury, Oliver Jaffe, et al.2024 · 130 citations
  31. From Persona to Personalization: A Survey on Role-Playing Language AgentsJiangjie Chen, Xintao Wang, Rui Xu, et al.2024 · 114 citations
  32. DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world EnvironmentsYuxiang Zheng, Dayuan Fu, Xiangkun Hu, et al.2025 · 108 citations
  33. LegalAgentBench: Evaluating LLM Agents in Legal DomainHaitao Li, Junjie Chen, Jingli Yang, et al.2025 · 60 citations
  34. XCodeEval: An Execution-based Large Scale Multilingual Multitask Benchmark for Code Understanding, Generation, Translation and RetrievalMohammad Abdullah Matin Khan, M Saiful Bari, Xuan Long Do, et al.2024 · 51 citations
  35. xCodeEval: A Large Scale Multilingual Multitask Benchmark for Code Understanding, Generation, Translation and RetrievalMohammad Abdullah Matin Khan, M Saiful Bari, Xuan Long Do, et al.2023 · 39 citations
  36. MedArabiQ: Benchmarking Large Language Models on Arabic Medical TasksMouath Abu Daoud, Chaimae Abouzahir, Leen Kharouf, et al.2025 · 22 citations
  37. Benchmark Data Contamination in Underrepresented Languages: A Comprehensive Analysis Using Brazilian DataIriedson Souto Maior de Moraes Vilar, David Candeia Maia, João Brunet, et al.2026
  38. Designing LLM Agents for User-Centered Language Service SelectionRyoichiro Ogawa, Donghui Lin, Fumito Uwano2026
  39. Obscuring Data Contamination Through Translation: Evidence from Arabic CorporaChaymaa Abbas, Nour Shamaa, Mariette Awad2026
  40. Survey of Tool Use in Large Language Models (大语言模型的工具使用综述)Yining Zheng (郑逸宁), Zhen Yu (余镇), Bufan Li (李不凡), et al.2025

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