🧑‍🔬 Who cites Fan Bai

111 citations of their works from 110 papers of our library (of the 149,439 whose bibliographies we read) · 31 with a page here, the most cited first · ← Fan Bai

1. A Survey of Large Language ModelsFrontiers of Computer ScienceWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,875 citations
2. Unleashing the potential of prompt engineering for large language modelsarXiv:2310.14735 · Patterns 6(6) 101,260 (2025)Banghao Chen, Zhaofeng Zhang, Nicolas Langrene, et al.2023 · 536 citations
3. ChatDev: Communicative Agents for Software DevelopmentarXiv:2307.07924Chen Qian, Wei Liu, Hongzhang Liu, et al.2023 · 385 citations
4. Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLParXiv:2212.14024Omar Khattab, Keshav Santhanam, Xiang Lisa Li, et al.2022 · 222 citations
5. Agent-Pro: Learning to Evolve via Policy-Level Reflection and OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)Wenqi Zhang, Ke Tang, Hai Wu, et al.2024 · 52 citations
6. A Systematic Survey of Automatic Prompt Optimization TechniquesConference on Empirical Methods in Natural Language Processing (EMNLP)Kiran Ramnath, Kang Zhou, Sheng Guan, et al.2025 · 40 citations
7. Knowledge Boundary of Large Language Models: A SurveyAnnual Meeting of the Association for Computational Linguistics (ACL)Moxin Li, Yong Zhao, Wenxuan Zhang, et al.2025 · 30 citations
8. Are Large Language Models Robust Coreference Resolvers?arXiv:2305.14489Nghia T. Le, Alan Ritter2023 · 26 citations
9. Large Language Models Can Solve Real-World Planning Rigorously with Formal Verification ToolsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Yilun Hao, Yongchao Chen, Yang Zhang, et al.2025 · 18 citations
10. PlanGEN: A Multi-Agent Framework for Generating Planning and Reasoning Trajectories for Complex Problem SolvingConference on Empirical Methods in Natural Language Processing (EMNLP)Mihir Parmar, Xin Liu, Palash Goyal, et al.2025 · 16 citations
11. ReCreate: Reasoning and Creating Domain Agents Driven by ExperienceAnnual Meeting of the Association for Computational Linguistics (ACL)Zhezheng Hao, Hong Wang, Jian Luo, et al.2026 · 8 citations
12. [Lions: 1] and [Tigers: 2] and [Bears: 3], Oh My! Literary Coreference Annotation with LLMsWorkshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LaTeCH-CLfL)Rebecca Hicke, David Mimno2024 · 7 citations
13. Multilingual coreference resolution as text generationWorkshop on Computational Models of Reference, Anaphora and Coreference (CRAC)Natalia Skachkova2024 · 6 citations
14. ZERA: Zero-init Instruction Evolving Refinement Agent – From Zero Instructions to Structured Prompts via Principle-based OptimizationConference on Empirical Methods in Natural Language Processing (EMNLP)Seungyoun Yi, Minsoo Khang, Sungrae Park2025 · 5 citations
15. MAPRO: Recasting Multi-Agent Prompt Optimization as Maximum a Posteriori InferenceFindings of the Association for Computational LinguisticsZheyuan Zhang, Lin Ge, Hongjiang Li, et al.2026 · 3 citations
16. Rethinking Prompt Optimizers: From Prompt Merits to OptimizationConference of the European Chapter of the Association for Computational Linguistics (EACL)Zixiao Zhu, Hanzhang Zhou, Zijian Feng, et al.2026 · 3 citations
17. COMMUNITYNOTES: A Dataset for Exploring the Helpfulness of Fact-Checking ExplanationsFindings of the Association for Computational LinguisticsRui Xing, Preslav Nakov, Timothy Baldwin, et al.2026 · 2 citations
18. PromptLab: A Collaborative Platform for Prompt Engineering and Dataset CurationConference of the European Chapter of the Association for Computational Linguistics (EACL)Maged S. Al-shaibani, Zaid Alyafeai, Dania Refai, et al.2026 · 1 citation
19. ProxyPrompt: Securing System Prompts against Prompt Extraction AttacksFindings of the Association for Computational LinguisticsZhixiong Zhuang, Maria-Irina Nicolae, Hui-Po Wang, et al.2026 · 1 citation
20. AgentFactory: A Self-Evolving Framework Through Executable Subagent Accumulation and ReuseAnnual Meeting of the Association for Computational Linguistics (ACL)Zhang Zhang, Shuqi Lu, Hongjin Qian, et al.2026
21. Are My Optimized Prompts Compromised? Exploring Vulnerabilities of LLM-based OptimizersConference of the European Chapter of the Association for Computational Linguistics (EACL)Andrew Zhao, Reshmi Ghosh, Vitor R. Carvalho, et al.2026
22. BayesFlow: A Probability Inference Framework for Meta-Agent Assisted Workflow GenerationFindings of the Association for Computational LinguisticsBo Yuan, Yun Zhou, Zhichao Xu, et al.2026
23. Do Lexical and Contextual Coreference Resolution Systems Degrade Differently under Mention Noise? An Empirical Study on Scientific Software MentionsNatural Scientific Language Processing (NSLP) @ LRECAtilla Kaan Alkan, Felix Grezes, Jennifer Lynn Bartlett, et al.2026
24. Faithfulness vs. Safety: Evaluating LLM Behavior Under Counterfactual Medical EvidenceFindings of the Association for Computational LinguisticsKaijie Mo, Siddhartha Venkatayogi, Chantal Shaib, et al.2026
25. Neural at ArchEHR-QA 2026: One Method Fits All: Unified Prompt Optimization for Clinical QA over EHRsWorkshop on Patient-Oriented Language Processing @ LRECAbrar Majeedi, Viswanatha Reddy Gajjala, Sai Prasanna Teja Reddy Bogireddy, et al.2026
26. Optimizing RAG Rerankers with LLM Feedback via Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Yuhang Wu, Xiangqing Shen, Fanfan Wang, et al.2026
27. PlanE: Meta Planning of Data, Tuning, and Inference for Extractive-based LLMsFindings of the Association for Computational LinguisticsJiacheng Wang, Weiyan Zhang, Guangya Yu2026
28. Protecting Language Models Against Unauthorized Distillation through Trace RewritingAnnual Meeting of the Association for Computational Linguistics (ACL)Xinhang Ma, William Yeoh, Ning Zhang, et al.2026
29. Thesis Proposal: Intentional Inference for Insight GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Kristýna Onderková2026
30. Towards Self-Evolving Agents: Enabling Autonomy through Interactive Experience RefinementFindings of the Association for Computational LinguisticsCheng Yang, Xuemeng Yang, Licheng Wen, et al.2026
31. When Facts Change: Temporal Knowledge Conflict Resolution in LLMsFindings of the Association for Computational LinguisticsJonas Wallat, Wolfgang Nejdl, Sandipan Sikdar2026

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