🧑‍🔬 Who cites Yao Wan

218 citations of their works from 213 papers of our library (of the 149,439 whose bibliographies we read) · 35 with a page here, the most cited first · ← Yao Wan

1. TrustLLM: Trustworthiness in Large Language ModelsarXiv:2401.05561Yue Huang, Lichao Sun, Haoran Wang, et al.2024 · 237 citations
2. LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation MethodsarXiv:2412.05579Haitao Li, Qian Dong, Junjie Chen, et al.2024 · 195 citations
3. Justice or Prejudice? Quantifying Biases in LLM-as-a-JudgearXiv:2410.02736Jiayi Ye, Yanbo Wang, Yue Huang, et al.2024 · 148 citations
4. τ-bench: A Benchmark for Tool-Agent-User Interaction in Real-World DomainsarXiv:2406.12045Shunyu Yao, Noah Shinn, Pedram Razavi, et al.2024 · 137 citations
5. From Persona to Personalization: A Survey on Role-Playing Language AgentsarXiv:2404.18231Jiangjie Chen, Xintao Wang, Rui Xu, et al.2024 · 115 citations
6. Dialogue Act Classification with Context-Aware Self-AttentionConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Vipul Raheja, Joel Tetreault2019 · 89 citations
7. Judging the Judges: A Systematic Study of Position Bias in LLM-as-a-JudgeInternational Joint Conference on Natural Language Processing (IJCNLP)Lin Shi, Chiyu Ma, Wenhua Liang, et al.2025 · 71 citations
8. xLAM: A Family of Large Action Models to Empower AI Agent SystemsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Jianguo Zhang, Tian Lan, Ming Zhu, et al.2025 · 68 citations
9. LegalAgentBench: Evaluating LLM Agents in Legal DomainAnnual Meeting of the Association for Computational Linguistics (ACL)Haitao Li, Junjie Chen, Jingli Yang, et al.2025 · 62 citations
10. The Alternative Annotator Test for LLM-as-a-Judge: How to Statistically Justify Replacing Human Annotators with LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Nitay Calderon, Roi Reichart, Rotem Dror2025 · 52 citations
11. Speaker Turn Modeling for Dialogue Act ClassificationZihao He, Leili Tavabi, Kristina Lerman, et al.2021 · 43 citations
12. ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world ScenariosInternational Conference on Computational Linguistics (COLING)Junjie Ye, Guanyu Li, SongYang Gao, et al.2025 · 35 citations
13. PPTAgent: Generating and Evaluating Presentations Beyond Text-to-SlidesConference on Empirical Methods in Natural Language Processing (EMNLP)Hao Zheng, Xinyan Guan, Hao Kong, et al.2025 · 30 citations
14. MindSearch: Mimicking Human Minds Elicits Deep AI SearcherarXiv:2407.20183Zehui Chen, Kuikun Liu, Qiuchen Wang, et al.2024 · 20 citations
15. Vibe-Eval: A hard evaluation suite for measuring progress of multimodal language modelsarXiv:2405.02287Piotr Padlewski, Max Bain, Matthew Henderson, et al.2024 · 19 citations
16. MMSearch-R1: Incentivizing LMMs to SearchAnnual Meeting of the Association for Computational Linguistics (ACL)Jinming Wu, Zihao Deng, Wei Li, et al.2026 · 16 citations
17. Adaptive Tool Use in Large Language Models with Meta-Cognition TriggerAnnual Meeting of the Association for Computational Linguistics (ACL)Wenjun Li, Dexun Li, Kuicai Dong, et al.2025 · 16 citations
18. ToolHop: A Query-Driven Benchmark for Evaluating Large Language Models in Multi-Hop Tool UseAnnual Meeting of the Association for Computational Linguistics (ACL)Junjie Ye, Zhengyin Du, Xuesong Yao, et al.2025 · 15 citations
19. Alignment for Efficient Tool Calling of Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Hongshen Xu, Zihan Wang, Zichen Zhu, et al.2025 · 13 citations
20. Efficient Tool Use with Chain-of-Abstraction ReasoningInternational Conference on Computational Linguistics (COLING)Silin Gao, Jane Dwivedi-Yu, Ping Yu, et al.2025 · 13 citations
21. NesTools: A Dataset for Evaluating Nested Tool Learning Abilities of Large Language ModelsInternational Conference on Computational Linguistics (COLING)Han Han, Tong Zhu, Xiang Zhang, et al.2025 · 7 citations
22. Feedback-Driven Tool-Use Improvements in Large Language Models via Automated Build EnvironmentsFindings of the Association for Computational LinguisticsJunjie Ye, Changhao Jiang, Zhengyin Du, et al.2026 · 6 citations
23. ToolScope: Enhancing LLM Agent Tool Use through Tool Merging and Context-Aware FilteringAnnual Meeting of the Association for Computational Linguistics (ACL)Marianne Menglin Liu, Daniel Garcia, Fjona Parllaku, et al.2026 · 4 citations
24. Automatic Recognition of the General-Purpose Communicative Functions defined by the ISO 24617-2 Standard for Dialog Act AnnotationJournal of Artificial Intelligence ResearchEugenio Ribeiro; Ricardo Ribeiro;, David Martins de Matos2020 · 4 citations
25. Skill Discovery for Software Scripting Automation via Offline Simulations with LLMsFindings of the Association for Computational LinguisticsPaiheng Xu, Gang Wu, Xiang Chen, et al.2026 · 3 citations
26. Uni-MMMU: A Massive Multi-discipline Multimodal Unified BenchmarkAnnual Meeting of the Association for Computational Linguistics (ACL)Kai Zou, Ziqi Huang, Yuhao Dong, et al.2026 · 3 citations
27. Ground Then Rank: Revisiting Knowledge-Based VQA with Training-Free Entity IdentificationFindings of the Association for Computational LinguisticsQian Ma, Qiong Wu, Zhengyi Zhou, et al.2026 · 1 citation
28. Multi-modal, Multi-task, Multi-criteria Automatic Evaluation with Vision Language ModelsLanguage Resources and Evaluation Conference (LREC)Masanari Oi, Masahiro Kaneko, Naoaki Okazaki, et al.2026 · 1 citation
29. Synthetic Function Demonstrations Improve Generation in Low-Resource Programming LanguagesLanguage Resources and Evaluation Conference (LREC)Nick McKenna, Xinnuo Xu, Jack Williams, et al.2026 · 1 citation
30. ThinkBrake: Efficient Reasoning via Log-Probability Margin Guided DecodingFindings of the Association for Computational LinguisticsSangjun Song, Minjae Oh, Seungkyu Lee, et al.2026 · 1 citation
31. Unlocking Large Audio-Language Models for Interactive Language LearningFindings of the Association for Computational LinguisticsHongfu Liu, Zhouying Cui, Xiangming Gu, et al.2026 · 1 citation
32. AJ-Bench: Benchmarking Agent-as-a-Judge for Environment-Aware EvaluationFindings of the Association for Computational LinguisticsWentao Shi, Yu Wang, Yuyang Zhao, et al.2026
33. FactVerse: A Benchmark for Factual Consistency in Interleaved Image–Text GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Yubo Shan, Kun Zhang, Qiming Xu, et al.2026
34. Learning from Near-Misses: Error-Aware Contrastive Few-Shot Learning for NL2FormulaAnnual Meeting of the Association for Computational Linguistics (ACL)Zhihao Shuai, Yiyun Chen, Maolin Ma, et al.2026
35. Survey of Tool Use in Large Language Models (大语言模型的工具使用综述)Acta Automatica Sinica (自动化学报)Yining Zheng (郑逸宁), Zhen Yu (余镇), Bufan Li (李不凡), et al.2025

178 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/yao-wan/cited-by/