🧑‍🔬 Who cites Michael Chen

92 citations of their works from 92 papers of our library (of the 149,439 whose bibliographies we read) · 31 with a page here, the most cited first · ← Michael Chen

1. Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?Conference on Empirical Methods in Natural Language Processing (EMNLP)Sewon Min, Xinxi Lyu, Ari Holtzman, et al.2022 · 1,444 citations
2. Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic CapabilitiesarXiv:2507.06261Gheorghe Comanici, Eric Bieber, Mike Schaekermann, et al.2025 · 974 citations
3. 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
4. Humanity's Last ExamNatureLong Phan, Alice Gatti, Ziwen Han, et al.2025 · 256 citations
5. CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLPConference on Empirical Methods in Natural Language Processing (EMNLP)Qinyuan Ye, Bill Yuchen Lin, Xiang Ren2021 · 210 citations
6. Generative Data Augmentation for Commonsense ReasoningFindings of the Association for Computational LinguisticsYiben Yang, Chaitanya Malaviya, Jared Fernandez, et al.2020 · 198 citations
7. KernelBench: Can LLMs Write Efficient GPU Kernels?arXiv:2502.10517Anne Ouyang, Simon Guo, Simran Arora, et al.2025 · 178 citations
8. Leveraging Large Language Models for Multiple Choice Question AnsweringarXiv:2210.12353Joshua Robinson, Christopher Michael Rytting, David Wingate2022 · 157 citations
9. Beat the AI: Investigating Adversarial Human Annotation for Reading ComprehensionTransactions of the Association for Computational Linguistics (TACL)Max Bartolo, Alastair Roberts, Johannes Welbl, et al.2020 · 141 citations
10. 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
11. Common Sense Beyond English: Evaluating and Improving Multilingual Language Models for Commonsense ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Bill Yuchen Lin, Seyeon Lee, Xiaoyang Qiao, et al.2021 · 107 citations
12. CommonsenseQA 2.0: Exposing the Limits of AI through GamificationarXiv:2201.05320Alon Talmor, Ori Yoran, Ronan Le Bras, et al.2022 · 94 citations
13. PaperBench: Evaluating AI's Ability to Replicate AI ResearcharXiv:2504.01848Giulio Starace, Oliver Jaffe, Dane Sherburn, et al.2025 · 86 citations
14. English Machine Reading Comprehension Datasets: A SurveyDaria Dzendzik, Jennifer Foster, Carl Vogel2021 · 54 citations
15. Chain-of-Thought Reasoning In The Wild Is Not Always FaithfularXiv:2503.08679Ivan Arcuschin, Jett Janiak, Robert Krzyzanowski, et al.2025 · 52 citations
16. 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
17. 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
18. 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
19. Diversity-oriented Data Augmentation with Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zaitian Wang, Jinghan Zhang, Xinhao Zhang, et al.2025 · 17 citations
20. Superintelligent Agents Pose Catastrophic Risks: Can Scientist AI Offer a Safer Path?arXiv:2502.15657Yoshua Bengio, Michael Cohen, Damiano Fornasiere, et al.2025 · 16 citations
21. 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
22. Parity-Aware Byte-Pair Encoding: Improving Cross-lingual Fairness in TokenizationAnnual Meeting of the Association for Computational Linguistics (ACL)Negar Foroutan, Clara Meister, Debjit Paul, et al.2026 · 12 citations
23. Coreference Reasoning in Machine Reading ComprehensionAnnual Meeting of the Association for Computational Linguistics (ACL)Mingzhu Wu, Nafise Sadat Moosavi, Dan Roth, et al.2021 · 11 citations
24. InnovatorBench: Evaluating Agents' Ability to Conduct Innovative LLM ResearcharXiv:2510.27598Yunze Wu, Dayuan Fu, Weiye Si, et al.2025 · 6 citations
25. Training AI Co-Scientists Using Rubric RewardsarXiv:2512.23707Shashwat Goel, Rishi Hazra, Dulhan Jayalath, et al.2025 · 6 citations
26. AI for Auto-Research: Roadmap & User GuidearXiv:2605.18661Lingdong Kong, Xian Sun, Wei Chow, et al.2026 · 5 citations
27. How Far Are We From True Auto-Research?arXiv:2605.19156Zhengxin Zhang, Ning Wang, Sainyam Galhotra, et al.2026 · 5 citations
28. The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT ImprovementsConference on Neural Information Processing Systems (NeurIPS)Bingchen Zhao, Despoina Magka, Minqi Jiang, et al.2025 · 4 citations
29. Training AI Scientists to Replicate ResearcharXiv:2608.13331Damon Falck, Samer Sabri, Anja Surina, et al.2026 · 2 citations
30. SC-Ques: A Sentence Completion Question Dataset for English as a Second Language LearnersLecture notes in computer scienceQiongqiong Liu, Yaying Huang, Zitao Liu, et al.2022 · 1 citation
31. EIFFEL: a novel benchmark to measure bias of English heavy training on French idiomatic expressionsAnnual Meeting of the Association for Computational Linguistics (ACL)Charlotte Noel, Nicholas Asher, Olivier Gouvert, et al.2026

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