🧑‍🔬 Who cites Yilun Zhou

123 citations of their works from 117 papers of our library (of the 149,439 whose bibliographies we read) · 35 with a page here, the most cited first · ← Yilun Zhou

1. Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP ResearchersarXiv:2409.04109Chenglei Si, Diyi Yang, Tatsunori Hashimoto2024 · 196 citations
2. Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language ModelsScience China Information SciencesQiguang Chen, Libo Qin, Jinhao Liu, et al.2025 · 176 citations
3. Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language ModelsarXiv:2410.07985Bofei Gao, Feifan Song, Zhe Yang, et al.2024 · 163 citations
4. Agent Laboratory: Using LLM Agents as Research AssistantsarXiv:2501.04227Samuel Schmidgall, Yusheng Su, Ze Wang, et al.2025 · 139 citations
5. Skywork-Reward: Bag of Tricks for Reward Modeling in LLMsarXiv:2410.18451Chris Yuhao Liu, Liang Zeng, Jiacai Liu, et al.2024 · 112 citations
6. Skywork-Reward-V2: Scaling Preference Data Curation via Human-AI SynergyarXiv:2507.01352Chris Yuhao Liu, Liang Zeng, Yuzhen Xiao, et al.2025 · 48 citations
7. Direct Judgement Preference OptimizationConference on Empirical Methods in Natural Language Processing (EMNLP)PeiFeng Wang, Austin Xu, Yilun Zhou, et al.2025 · 35 citations
8. Lost in Multilinguality: Dissecting Cross-lingual Factual Inconsistency in Transformer Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Mingyang Wang, Heike Adel, Lukas Lange, et al.2025 · 31 citations
9. LLM-as-a-Judge & Reward Model: What They Can and Cannot DoarXiv:2409.11239Guijin Son, Hyunwoo Ko, Hoyoung Lee, et al.2024 · 27 citations
10. ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error DetectionFindings of the Association for Computational LinguisticsYibo Yan, Shen Wang, Jiahao Huo, et al.2026 · 23 citations
11. AI4Research: A Survey of Artificial Intelligence for Scientific ResearchScience China Information SciencesQiguang Chen, Mingda Yang, Libo Qin, et al.2025 · 21 citations
12. Improve LLM-as-a-Judge Ability as a General AbilityConference on Empirical Methods in Natural Language Processing (EMNLP)Jiachen Yu, Shaoning Sun, Xiaohui Hu, et al.2025 · 15 citations
13. Does Context Matter? ContextualJudgeBench for Evaluating LLM-based Judges in Contextual SettingsAnnual Meeting of the Association for Computational Linguistics (ACL)Austin Xu, Srijan Bansal, Yifei Ming, et al.2025 · 14 citations
14. FinanceReasoning: Benchmarking Financial Numerical Reasoning More Credible, Comprehensive and ChallengingAnnual Meeting of the Association for Computational Linguistics (ACL)Zichen Tang, Haihong E, Ziyan Ma, et al.2025 · 13 citations
15. U-MATH: A University-Level Benchmark for Evaluating Mathematical Skills in LLMsarXiv:2412.03205Konstantin Chernyshev, Vitaliy Polshkov, Ekaterina Artemova, et al.2024 · 13 citations
16. Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language ModelsFindings of the Association for Computational LinguisticsHengyuan Zhang, Zhihao Zhang, Ercong Nie, et al.2026 · 9 citations
17. The Quest for the Right Mediator: Surveying Mechanistic Interpretability for NLP Through the Lens of Causal Mediation AnalysisComputational LinguisticsAaron Mueller, Jannik Brinkmann, Millicent Li, et al.2026 · 7 citations
18. Internal Chain-of-Thought: Empirical Evidence for Layer-wise Subtask Scheduling in LLMsConference on Empirical Methods in Natural Language Processing (EMNLP)Zhipeng Yang, Junzhuo Li, Siyu Xia, et al.2025 · 7 citations
19. Shared Imagination: LLMs Hallucinate AlikearXiv:2407.16604Yilun Zhou, Caiming Xiong, Silvio Savarese, et al.2024 · 7 citations
20. All for One: LLMs Solve Mental Math at the Last Token With Information Transferred From Other TokensConference on Empirical Methods in Natural Language Processing (EMNLP)Siddarth Mamidanna, Daking Rai, Ziyu Yao, et al.2025 · 6 citations
21. Give me a hint: Can LLMs take a hint to solve math problems?arXiv:2410.05915Vansh Agrawal, Pratham Singla, Amitoj Singh Miglani, et al.2024 · 6 citations
22. DARS: Dynamic Action Re-Sampling to Enhance Coding Agent Performance by Adaptive Tree TraversalAnnual Meeting of the Association for Computational Linguistics (ACL)Vaibhav Aggarwal, Ojasv Kamal, Abhinav Japesh, et al.2025 · 4 citations
23. EngiBench: A Benchmark for Evaluating Large Language Models on Engineering Problem SolvingFindings of the Association for Computational LinguisticsXiyuan Zhou, Xinlei Wang, Yirui He, et al.2026 · 3 citations
24. J4R: Learning to Judge with Equivalent Initial State Group Relative Policy OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)Austin Xu, Yilun Zhou, Xuan-Phi Nguyen, et al.2026 · 3 citations
25. IF-CRITIC: Towards a Fine-Grained LLM Critic for Instruction-Following EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Bosi Wen, Yilin Niu, Cunxiang Wang, et al.2026 · 1 citation
26. SSA: Improving Performance With a Better Scoring FunctionAnnual Meeting of the Association for Computational Linguistics (ACL)Omar Naim, Swarnadeep Bhar, Jerome Bolte, et al.2026 · 1 citation
27. Tug-of-war between idioms' figurative and literal interpretations in LLMsConference of the European Chapter of the Association for Computational Linguistics (EACL)Soyoung Oh, Xinting Huang, Mathis Pink, et al.2026 · 1 citation
28. Consistency of LLMs to Comparative Statements in Mathematical Reasoning TasksLanguage Resources and Evaluation Conference (LREC)Aidan W. San, Daniel Juyoung Son, Xiaodong Liu, et al.2026
29. FIBER: A Multilingual Evaluation Resource for Factual Inference BiasLanguage Resources and Evaluation Conference (LREC)Evren Ayberk Munis, Deniz Yilmaz, Arianna Muti, et al.2026
30. From Insight to Action: A Novel Framework for Interpretability-Guided Data Selection in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Ling Shi, Xinwei Wu, Xiaohu Zhao, et al.2026
31. GeoLAN: Geometric Learning of Latent Explanatory Directions in Large Language ModelsFindings of the Association for Computational LinguisticsTianyu Pan, Damon L. Woodard2026
32. Mechanistic Interpretability Meets Cognitive Linguistics: Modelling Locative Image Schemas in the Circuit FrameworkLanguage Resources and Evaluation Conference (LREC)Mattia Proietti, Afra Alishahi, Grzegorz Chrupała, et al.2026
33. Revitalizing Black-Box Interpretability: Actionable Interpretability for LLMs via Proxy ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Junhao Liu, Haonan Yu, Zhenyu Yan, et al.2026
34. The Shape of Vulnerability: How Adversarial Perturbations Reshape the Topology of Language Model Latent SpacesAnnual Meeting of the Association for Computational Linguistics (ACL)Angelina Tsai, Shreya Subramanian, Catherine Liu, et al.2026
35. Word Surprisal Correlates with Sentential Contradiction in LLMsConference of the European Chapter of the Association for Computational Linguistics (EACL)Ning Shi, Bradley Hauer, David Basil, et al.2026

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