🧑‍🔬 Who cites Michael Moor

220 citations of their works from 190 papers of our library (of the 149,439 whose bibliographies we read) · 69 with a page here, the most cited first · ← Michael Moor

1. Large Language Models for Information Retrieval: A SurveyACM Transactions on Information SystemsYutao Zhu; Huaying Yuan; Shuting Wang; Jiongnan Liu; Wenhan Liu; Chenlong Deng; Haonan Chen; Zheng Liu; Zhicheng Dou;, Ji-Rong Wen2023 · 339 citations
2. Towards Building Multilingual Language Model for MedicineNature CommunicationsPengcheng Qiu, Chaoyi Wu, Xiaoman Zhang, et al.2024 · 184 citations
3. Capabilities of Gemini Models in MedicinearXiv:2404.18416Khaled Saab, Tao Tu, Wei-Hung Weng, et al.2024 · 170 citations
4. The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree SearcharXiv:2504.08066Yutaro Yamada, Robert Tjarko Lange, Cong Lu, et al.2025 · 129 citations
5. HealthBench: Evaluating Large Language Models Towards Improved Human HealtharXiv:2505.08775Rahul K. Arora, Jason Wei, Rebecca Soskin Hicks, et al.2025 · 126 citations
6. A Survey of Large Language Models in Medicine: Progress, Application, and ChallengearXiv:2311.05112Hongjian Zhou, Fenglin Liu, Boyang Gu, et al.2023 · 87 citations
7. A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and EthicsarXiv:2310.05694Kai He, Rui Mao, Qika Lin, et al.2023 · 86 citations
8. Large Language Models as Analogical ReasonersarXiv:2310.01714Michihiro Yasunaga, Xinyun Chen, Yujia Li, et al.2023 · 74 citations
9. MLR-Copilot: Autonomous Machine Learning Research based on Large Language Models AgentsarXiv:2408.14033Ruochen Li, Teerth Patel, Qingyun Wang, et al.2024 · 43 citations
10. DeepResearch Bench: A Comprehensive Benchmark for Deep Research AgentsarXiv:2506.11763Mingxuan Du, Benfeng Xu, Chiwei Zhu, et al.2025 · 41 citations
11. AI-Researcher: Autonomous Scientific InnovationConference on Neural Information Processing Systems (NeurIPS)Jiabin Tang, Lianghao Xia, Zhonghang Li, et al.2025 · 40 citations
12. AgentRxiv: Towards Collaborative Autonomous ResearcharXiv:2503.18102Samuel Schmidgall, Michael Moor2025 · 39 citations
13. From Automation to Autonomy: A Survey on Large Language Models in Scientific DiscoveryConference on Empirical Methods in Natural Language Processing (EMNLP)Tianshi Zheng, Zheye Deng, Hong Ting Tsang, et al.2025 · 39 citations
14. CodeScientist: End-to-End Semi-Automated Scientific Discovery with Code-based ExperimentationarXiv:2503.22708 · ACL 2025 (Findings)Peter Jansen, Oyvind Tafjord, Marissa Radensky, et al.2025 · 31 citations
15. BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation ExperimentsarXiv:2405.17631Yusuf Roohani, Andrew Lee, Qian Huang, et al.2024 · 29 citations
16. Baichuan-Omni-1.5 Technical ReportarXiv:2501.15368Yadong Li, Jun Liu, Tao Zhang, et al.2025 · 28 citations
17. LLM Agents Making Agent ToolsAnnual Meeting of the Association for Computational Linguistics (ACL)Georg Wölflein, Dyke Ferber, Daniel Truhn, et al.2025 · 27 citations
18. Transforming Science with Large Language Models: A Survey on AI-assisted Scientific Discovery, Experimentation, Content Generation, and EvaluationACM Computing SurveysSteffen Eger, Yong Cao, Jennifer D'Souza, et al.2025 · 25 citations
19. Paper2Code: Automating Code Generation from Scientific Papers in Machine LearningarXiv:2504.17192Minju Seo, Jinheon Baek, Seongyun Lee, et al.2025 · 24 citations
20. Towards Scientific Intelligence: A Survey of LLM-based Scientific AgentsarXiv:2503.24047Shuo Ren, Can Xie, Pu Jian, et al.2025 · 24 citations
21. SciReplicate-Bench: Benchmarking LLMs in Agent-driven Algorithmic Reproduction from Research PapersarXiv:2504.00255Yanzheng Xiang, Hanqi Yan, Shuyin Ouyang, et al.2025 · 23 citations
22. AI4Research: A Survey of Artificial Intelligence for Scientific ResearchScience China Information SciencesQiguang Chen, Mingda Yang, Libo Qin, et al.2025 · 21 citations
23. 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
24. MLR-Bench: Evaluating AI Agents on Open-Ended Machine Learning ResearchConference on Neural Information Processing Systems (NeurIPS)Hui Chen, Miao Xiong, Yujie Lu, et al.2025 · 21 citations
25. Curie: Toward Rigorous and Automated Scientific Experimentation with AI AgentsarXiv:2502.16069Patrick Tser Jern Kon, Jiachen Liu, Qiuyi Ding, et al.2025 · 20 citations
26. AstaBench: Rigorous Benchmarking of AI Agents with a Scientific Research SuitearXiv:2510.21652Jonathan Bragg, Mike D'Arcy, Nishant Balepur, et al.2025 · 19 citations
27. Dolphin: Moving Towards Closed-loop Auto-research through Thinking, Practice, and FeedbackarXiv:2501.03916Jiakang Yuan, Xiangchao Yan, Shiyang Feng, et al.2025 · 19 citations
28. From AI for Science to Agentic Science: A Survey on Autonomous Scientific DiscoveryarXiv:2508.14111Jiaqi Wei, Yuejin Yang, Xiang Zhang, et al.2025 · 19 citations
29. The Ideation-Execution Gap: Execution Outcomes of LLM-Generated versus Human Research IdeasarXiv:2506.20803Chenglei Si, Tatsunori Hashimoto, Diyi Yang2025 · 19 citations
30. DeepScientist: Advancing Frontier-Pushing Scientific Findings ProgressivelyarXiv:2509.26603Yixuan Weng, Minjun Zhu, Qiujie Xie, et al.2025 · 17 citations
31. EXP-Bench: Can AI Conduct AI Research Experiments?arXiv:2505.24785Patrick Tser Jern Kon, Jiachen Liu, Xinyi Zhu, et al.2025 · 17 citations
32. Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMsarXiv:2507.09477Yangning Li, Weizhi Zhang, Yuyao Yang, et al.2025 · 17 citations
33. Sparks of Science: Hypothesis Generation Using Structured Paper DataarXiv:2504.12976Charles O'Neill, Tirthankar Ghosal, Roberta R\uaileanu, et al.2025 · 16 citations
34. MLRC-Bench: Can Language Agents Solve Machine Learning Research Challenges?Conference on Neural Information Processing Systems (NeurIPS)Yunxiang Zhang, Muhammad Khalifa, Shitanshu Bhushan, et al.2025 · 13 citations
35. AI Scientists Fail Without Strong Implementation CapabilityarXiv:2506.01372Minjun Zhu, Qiujie Xie, Yixuan Weng, et al.2025 · 12 citations
36. AutoReproduce: Automatic AI Experiment Reproduction with Paper LineageAnnual Meeting of the Association for Computational Linguistics (ACL)Xuanle Zhao, Zilin Sang, Yuxuan Li, et al.2025 · 12 citations
37. IRIS: Interactive Research Ideation System for Accelerating Scientific DiscoveryAnnual Meeting of the Association for Computational Linguistics (ACL)Aniketh Garikaparthi, Manasi Patwardhan, Lovekesh Vig, et al.2025 · 11 citations
38. ScienceBoard: Evaluating Multimodal Autonomous Agents in Realistic Scientific WorkflowsarXiv:2505.19897Qiushi Sun, Zhoumianze Liu, Chang Ma, et al.2025 · 11 citations
39. The More You Automate, the Less You See: Hidden Pitfalls of AI Scientist SystemsarXiv:2509.08713Ziming Luo, Atoosa Kasirzadeh, Nihar B. Shah2025 · 11 citations
40. EvoScientist: Towards Multi-Agent Evolving AI Scientists for End-to-End Scientific DiscoveryarXiv:2603.08127Yougang Lyu, Xi Zhang, Xinhao Yi, et al.2026 · 10 citations
41. Language Modeling by Language ModelsConference on Neural Information Processing Systems (NeurIPS)Junyan Cheng, Peter Clark, Kyle Richardson2025 · 9 citations
42. SafeScientist: Toward Risk-Aware Scientific Discoveries by LLM AgentsarXiv:2505.23559Kunlun Zhu, Jiaxun Zhang, Ziheng Qi, et al.2025 · 8 citations
43. SuperWriter: Reflection-Driven Long-Form Generation with Large Language ModelsFindings of the Association for Computational LinguisticsYuhao Wu, Yushi Bai, Zhiqiang Hu, et al.2026 · 6 citations
44. AI for Auto-Research: Roadmap & User GuidearXiv:2605.18661Lingdong Kong, Xian Sun, Wei Chow, et al.2026 · 5 citations
45. How Far Are We From True Auto-Research?arXiv:2605.19156Zhengxin Zhang, Ning Wang, Sainyam Galhotra, et al.2026 · 5 citations
46. Instructional Agents: Reducing Teaching Faculty Workload through Multi-Agent Instructional DesignConference of the European Chapter of the Association for Computational Linguistics (EACL)Huaiyuan Yao, Wanpeng Xu, Justin Turnau, et al.2026 · 4 citations
47. Are Large Language Models Reliable AI Scientists? Assessing Reverse-Engineering of Black-Box SystemsarXiv:2505.17968Jiayi Geng, Howard Chen, Dilip Arumugam, et al.2025 · 4 citations
48. Metacognitive Self-Correction for Multi-Agent System via Prototype-Guided Next-Execution ReconstructionFindings of the Association for Computational LinguisticsXu Shen, Qi Zhang, Song Wang, et al.2026 · 3 citations
49. Can We Predict Before Executing Machine Learning Agents?Annual Meeting of the Association for Computational Linguistics (ACL)Jingsheng Zheng, Jintian Zhang, Yujie Luo, et al.2026 · 2 citations
50. Learning to Ideate for Machine Learning Engineering AgentsConference of the European Chapter of the Association for Computational Linguistics (EACL)Yunxiang Zhang, Kang Zhou, Zhichao Xu, et al.2026 · 2 citations
51. LVLM-Aware Multimodal Retrieval for RAG-Based Medical Diagnosis with General-Purpose ModelsFindings of the Association for Computational LinguisticsNir Mazor, Tom Hope2026 · 2 citations
52. SoundnessBench: Can Your AI Scientist Really Tell Good Research Ideas from Bad Ones?arXiv:2605.30329Sy-Tuyen Ho, Minghui Liu, Huy Nghiem, et al.2026 · 2 citations
53. Training AI Scientists to Replicate ResearcharXiv:2608.13331Damon Falck, Samer Sabri, Anja Surina, et al.2026 · 2 citations
54. AiraXiv: An AI-Driven Open-Access Platform for Human and AI ScientistsAnnual Meeting of the Association for Computational Linguistics (ACL)Junshu Pan, Panzhong Lu, Yixuan Weng, et al.2026 · 1 citation
55. FARS: A Fully Automated Research System Deployed at ScalearXiv:2606.31651Qiong Tang, Tianxiang Sun, Xiangkun Hu, et al.2026 · 1 citation
56. Workflow Closure Is Not Scientific Closure in Auto-Research SystemsarXiv:2605.26200Shuai Wang, Xinyuan Tian, Pangpang Liu, et al.2026 · 1 citation
57. Beyond Single View: A Comprehensive Benchmark for Medical Multimodal Large Language Models on Multi-Image UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL)Dexuan Xu, Yuan Jiayin, Jianing Wang, et al.2026
58. Can AI Revise Research Papers with Human Review Feedback? An Empirical Study and BenchmarkFindings of the Association for Computational LinguisticsZihan Luo, Hong Huang, Jianxun Lian, et al.2026
59. ClimAgent: LLM as Agents for Autonomous Open-ended Climate Science AnalysisFindings of the Association for Computational LinguisticsHao Wang, Jindong Han, Wei Fan, et al.2026
60. CT-FineBench: A Diagnostic Fidelity Benchmark for Fine-Grained Evaluation of CT Report GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Ruifeng Yuan, Wanxing Chang, Weiwei Cao, et al.2026
61. Hetero-Designer: Automated Design of Multi-Agent Systems with Heterogeneous LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhiheng Zhang, Yuanzhe Zhang, Bohan Yu, et al.2026
62. IntrAgent: An LLM Agent for Content-Grounded Information Retrieval through Literature ReviewAnnual Meeting of the Association for Computational Linguistics (ACL)Fengbo Ma, Zixin Rao, Xiaoting Li, et al.2026
63. Language corpora for the Dutch medical domainarXiv:2604.25374B. van Es2026
64. Latent Attention Denoising: A Training-Free Energy-Based Framework for Mitigating Hallucinations in Vision-Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhiwen Luo, Siyu Jiang, Weilong Jiang, et al.2026
65. MedKInstruct: A Multimodal Knowledge Graph Based Framework for Multi-Hop and Hard-Negative Instruction Data Synthesis in MedVQAFindings of the Association for Computational LinguisticsYinan Wu, Jihang Jin, Xuhao Bao, et al.2026
66. Position: Academic Conferences are Potentially Facing Denominator Gaming Caused by Fully Automated Scientific AgentsarXiv:2605.09915Rong Shan, Te Gao, Hang Zheng, et al.2026
67. SciExplore: Evaluating Autonomous Agents from Scientific Navigation to Information IntegrationFindings of the Association for Computational LinguisticsYinhao Tang, Youqing Fang, Yanan Sun, et al.2026
68. Towards a Radiologist Imitation Framework for 3D CT Diagnosis with Multimodal LLMsBioNLPKaidi Zhang, Zhiyuan Yan, Gao Cheng, et al.2026
69. “Excuse me, may I say something...” CoLabScience, A Proactive AI Assistant for Biomedical Discovery and LLM-Expert CollaborationsAnnual Meeting of the Association for Computational Linguistics (ACL)Yang Wu, Jinhong Yu, Jingwei Xiong, et al.2026

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