🧑‍🔬 Who cites Samuel Schmidgall

250 citations of their works from 222 papers of our library (of the 149,439 whose bibliographies we read) · 85 with a page here, the most cited first · ← Samuel Schmidgall

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. 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
3. MLR-Copilot: Autonomous Machine Learning Research based on Large Language Models AgentsarXiv:2408.14033Ruochen Li, Teerth Patel, Qingyun Wang, et al.2024 · 43 citations
4. DeepResearch Bench: A Comprehensive Benchmark for Deep Research AgentsarXiv:2506.11763Mingxuan Du, Benfeng Xu, Chiwei Zhu, et al.2025 · 41 citations
5. AI-Researcher: Autonomous Scientific InnovationConference on Neural Information Processing Systems (NeurIPS)Jiabin Tang, Lianghao Xia, Zhonghang Li, et al.2025 · 40 citations
6. AgentRxiv: Towards Collaborative Autonomous ResearcharXiv:2503.18102Samuel Schmidgall, Michael Moor2025 · 39 citations
7. 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
8. 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
9. LLM Agents Making Agent ToolsAnnual Meeting of the Association for Computational Linguistics (ACL)Georg Wölflein, Dyke Ferber, Daniel Truhn, et al.2025 · 27 citations
10. 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
11. Paper2Code: Automating Code Generation from Scientific Papers in Machine LearningarXiv:2504.17192Minju Seo, Jinheon Baek, Seongyun Lee, et al.2025 · 24 citations
12. Towards Scientific Intelligence: A Survey of LLM-based Scientific AgentsarXiv:2503.24047Shuo Ren, Can Xie, Pu Jian, et al.2025 · 24 citations
13. SciReplicate-Bench: Benchmarking LLMs in Agent-driven Algorithmic Reproduction from Research PapersarXiv:2504.00255Yanzheng Xiang, Hanqi Yan, Shuyin Ouyang, et al.2025 · 23 citations
14. AI4Research: A Survey of Artificial Intelligence for Scientific ResearchScience China Information SciencesQiguang Chen, Mingda Yang, Libo Qin, et al.2025 · 21 citations
15. 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
16. 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
17. Curie: Toward Rigorous and Automated Scientific Experimentation with AI AgentsarXiv:2502.16069Patrick Tser Jern Kon, Jiachen Liu, Qiuyi Ding, et al.2025 · 20 citations
18. AstaBench: Rigorous Benchmarking of AI Agents with a Scientific Research SuitearXiv:2510.21652Jonathan Bragg, Mike D'Arcy, Nishant Balepur, et al.2025 · 19 citations
19. Dolphin: Moving Towards Closed-loop Auto-research through Thinking, Practice, and FeedbackarXiv:2501.03916Jiakang Yuan, Xiangchao Yan, Shiyang Feng, et al.2025 · 19 citations
20. 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
21. The Ideation-Execution Gap: Execution Outcomes of LLM-Generated versus Human Research IdeasarXiv:2506.20803Chenglei Si, Tatsunori Hashimoto, Diyi Yang2025 · 19 citations
22. DeepScientist: Advancing Frontier-Pushing Scientific Findings ProgressivelyarXiv:2509.26603Yixuan Weng, Minjun Zhu, Qiujie Xie, et al.2025 · 17 citations
23. EXP-Bench: Can AI Conduct AI Research Experiments?arXiv:2505.24785Patrick Tser Jern Kon, Jiachen Liu, Xinyi Zhu, et al.2025 · 17 citations
24. 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
25. Sparks of Science: Hypothesis Generation Using Structured Paper DataarXiv:2504.12976Charles O'Neill, Tirthankar Ghosal, Roberta R\uaileanu, et al.2025 · 16 citations
26. 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
27. AI Scientists Fail Without Strong Implementation CapabilityarXiv:2506.01372Minjun Zhu, Qiujie Xie, Yixuan Weng, et al.2025 · 12 citations
28. 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
29. 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
30. ScienceBoard: Evaluating Multimodal Autonomous Agents in Realistic Scientific WorkflowsarXiv:2505.19897Qiushi Sun, Zhoumianze Liu, Chang Ma, et al.2025 · 11 citations
31. The More You Automate, the Less You See: Hidden Pitfalls of AI Scientist SystemsarXiv:2509.08713Ziming Luo, Atoosa Kasirzadeh, Nihar B. Shah2025 · 11 citations
32. 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
33. Language Modeling by Language ModelsConference on Neural Information Processing Systems (NeurIPS)Junyan Cheng, Peter Clark, Kyle Richardson2025 · 9 citations
34. SafeScientist: Toward Risk-Aware Scientific Discoveries by LLM AgentsarXiv:2505.23559Kunlun Zhu, Jiaxun Zhang, Ziheng Qi, et al.2025 · 8 citations
35. 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
36. AI for Auto-Research: Roadmap & User GuidearXiv:2605.18661Lingdong Kong, Xian Sun, Wei Chow, et al.2026 · 5 citations
37. How Far Are We From True Auto-Research?arXiv:2605.19156Zhengxin Zhang, Ning Wang, Sainyam Galhotra, et al.2026 · 5 citations
38. MedAraBench: Large-Scale Arabic Medical Question Answering Dataset and BenchmarkarXiv:2602.01714Mouath Abu-Daoud, Leen Kharouf, Omar El Hajj, et al.2026 · 5 citations
39. 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
40. 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
41. 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
42. Baichuan-M3: Modeling Clinical Inquiry for Reliable Medical Decision-MakingarXiv:2602.06570Chengfeng Dou, Fan Yang, Fei Li, et al.2026 · 2 citations
43. 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
44. CCD: Mitigating Hallucinations in Radiology MLLMs via Clinical Contrastive DecodingFindings of the Association for Computational LinguisticsXi Zhang, Zaiqiao Meng, Jake Lever, et al.2026 · 2 citations
45. 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
46. MedMCP-Calc: Benchmarking LLMs for Realistic Medical Calculator Scenarios via MCP IntegrationAnnual Meeting of the Association for Computational Linguistics (ACL)Yakun Zhu, Yutong Huang, Shengqian Qin, et al.2026 · 2 citations
47. Mind the Gap: Benchmarking LLM Uncertainty and Calibration with Specialty-Aware Clinical QA and Reasoning-Based Behavioural FeaturesConference of the European Chapter of the Association for Computational Linguistics (EACL)Alberto Testoni, Iacer Calixto2026 · 2 citations
48. Persona Jailbreaking in Large Language ModelsFindings of the Association for Computational LinguisticsJivnesh Sandhan, Fei Cheng, Tushar Sandhan, et al.2026 · 2 citations
49. 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
50. Training AI Scientists to Replicate ResearcharXiv:2608.13331Damon Falck, Samer Sabri, Anja Surina, et al.2026 · 2 citations
51. 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
52. Beyond the Crowd: LLM-Augmented Community Notes for Governing Health MisinformationAnnual Meeting of the Association for Computational Linguistics (ACL)Jiaying Wu, Zihang Fu, Haonan Wang, et al.2026 · 1 citation
53. CPTCoder: A Reliable LLM System for Medical Procedure Code PredictionAnnual Meeting of the Association for Computational Linguistics (ACL)Benlu Wang, Ziyao Shangguan, Kyle Tegtmeyer, et al.2026 · 1 citation
54. Cross-Lingual Empirical Evaluation of Large Language Models for Arabic Medical TasksWorkshop on Linguistic Analysis for HealthChaimae Abouzahir, Congbo Ma, Nizar Habash, et al.2026 · 1 citation
55. EchoVLM: Dynamic Mixture-of-Experts Vision-Language Model for Universal Ultrasound IntelligenceAnnual Meeting of the Association for Computational Linguistics (ACL)Chaoyin She, Ruifang Lu, Lida Chen, et al.2026 · 1 citation
56. FARS: A Fully Automated Research System Deployed at ScalearXiv:2606.31651Qiong Tang, Tianxiang Sun, Xiangkun Hu, et al.2026 · 1 citation
57. How Robust Are Large Language Models for Clinical Numeracy? An Empirical Study on Numerical Reasoning Abilities in Clinical ContextsFindings of the Association for Computational LinguisticsMinh-Vuong Nguyen, Fatemeh Shiri, Zhuang Li, et al.2026 · 1 citation
58. Modeling Clinical Uncertainty in Radiology Reports: From Explicit Uncertainty Markers to Implicit Reasoning PathwaysLanguage Resources and Evaluation Conference (LREC)Paloma Rabaey, Jong Hak Moon, Jung-Oh Lee, et al.2026 · 1 citation
59. Otter at MedExAct2026: Diverse Encoder Ensemble for Medical Decision Span DetectionBioNLPLalita Lowphansirikul, Piyalitt Ittichaiwong2026 · 1 citation
60. Reasoning or Knowledge: Stratified Evaluation of Biomedical LLMsConference of the European Chapter of the Association for Computational Linguistics (EACL)Rahul Thapa, Qingyang Wu, Kevin Wu, et al.2026 · 1 citation
61. Smart_solutions at MEDIQA-SYNUR 2026: A Multi-Stage LLM Pipeline for Nursing Observation ExtractionWorkshop on Clinical Natural Language Processing (Clinical NLP) @ LRECPrateek Munjal2026 · 1 citation
62. Workflow Closure Is Not Scientific Closure in Auto-Research SystemsarXiv:2605.26200Shuai Wang, Xinyuan Tian, Pangpang Liu, et al.2026 · 1 citation
63. AraMinds at AraHealthQA 2025: A Retrieval-Augmented Generation System for Fine-Grained Classification and Answer Generation of Arabic Mental Health Q&AArabic Natural Language Processing Conference (ArabicNLP)Mohamed Zaytoon, Ahmed Mahmoud Salem, Ahmed Sakr, et al.2025 · 1 citation
64. Applicability Condition Extraction for Therapeutic Drug-Disease RelationsFindings of the Association for Computational LinguisticsGuanting Luo, Noriki Nishida, Yuji Matsumoto, et al.2026
65. Bridging the English-Arabic Medical Knowledge Gap: Targeted Low-Rank Adaptation via Causal Layer SelectionarXiv:2608.00207 · Findings of the Association for Computational Linguistics: EMNLP 2026Chaimae Abouzahir, Musa Khan, Hala Ali-Hassan, et al.2026
66. 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
67. 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
68. Datasets for a Chatbot for Clinical Trial SearchWorkshop on Patient-Oriented Language Processing @ LRECYumeng Yang, Ethan Ludmir, Kirk Roberts2026
69. Exploring automatic terminology extraction from historical medical dataInternational Conference on Computational Processing of PortugueseLeonardo Zilio, Maria José Bocorny Finatto2026
70. Extracting Medical Image-Related Entities from Spanish Electronic Health Records Using NER MethodsLanguage Resources and Evaluation Conference (LREC)Alexander Platas, Marcos Merino, Elena Zotova, et al.2026
71. 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
72. HiTZ-IXA at ArchEHR-QA 2026: Evidence Alignment Through Self-Consistency and Prompt Curation in Memory-Constrained EnvironmentsWorkshop on Patient-Oriented Language Processing @ LRECXabier Irastortza-Urbieta, Maite Oronoz, Alicia Pérez2026
73. Identifying Imaging Follow-Up in Radiology Reports: A Comparative Analysis of Traditional ML and LLM ApproachesLanguage Resources and Evaluation Conference (LREC)Namu Park, Giridhar Kaushik Ramachandran, Kevin Lybarger, et al.2026
74. Inflated Excellence or True Performance? Rethinking Medical Diagnostic Benchmarks with Dynamic EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Xiangxu Zhang, Lei Li, Yanyun Zhou, et al.2026
75. 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
76. Is Biomedical Specialization Still Worth It? Insights from Domain-Adaptive Language Modelling with a New French Health CorpusLanguage Resources and Evaluation Conference (LREC)Aidan Mannion, Cécile Macaire, Armand Violle, et al.2026
77. Linguistic symptoms: retrieval-augmented generation and reasoning in LLMs under Portuguese–English variation in medical contexts (Sintomas Linguísticos: Geração Aumentada por Recuperação e Raciocínio em LLMs sob a Variação Português-Inglês em Contextos Médicos)International Conference on Computational Processing of PortugueseGuilherme Vianna de Moura, Gabriel Assis, Aline Paes2026
78. Linking Knowledge to Care: Knowledge Graph-Augmented Medical Follow-Up Question GenerationFindings of the Association for Computational LinguisticsLiwen Sun, Xiang Yu, Ming Tan, et al.2026
79. MedRedFlag: Investigating how LLMs Redirect Misconceptions in Real-World Health CommunicationFindings of the Association for Computational LinguisticsSraavya Sambara, Yuan Pu, Ayman Ali, et al.2026
80. MentalSeek-Dx: Towards Progressive Hypothetico-Deductive Reasoning for Real-world Psychiatric DiagnosisAnnual Meeting of the Association for Computational Linguistics (ACL)Xiao Sun, Ymyang, Xinyi Jiang, et al.2026
81. Position: Academic Conferences are Potentially Facing Denominator Gaming Caused by Fully Automated Scientific AgentsarXiv:2605.09915Rong Shan, Te Gao, Hang Zheng, et al.2026
82. SciExplore: Evaluating Autonomous Agents from Scientific Navigation to Information IntegrationFindings of the Association for Computational LinguisticsYinhao Tang, Youqing Fang, Yanan Sun, et al.2026
83. sebis at CRF Filling 2026: A Two-Stage Local LLM Pipeline for Medical CRF FillingWorkshop on Patient-Oriented Language Processing @ LRECKatharina Sommer, Tristan Till, Florian Matthes2026
84. VAIDYA: Validated Agents for Intelligent Diagnosis and Yielded AnalysisWorkshop on Generation, Evaluation and Metrics (GEM)Kalash Shah, Gautam Bhutani, Rohitaswa Sarbhangia, et al.2026
85. “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

137 more citing papers of our library have no page here yet.

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/samuel-schmidgall/cited-by/