🧑‍🔬 Who cites Lei Fang

138 citations of their works from 138 papers of our library (of the 149,439 whose bibliographies we read) · 40 with a page here, the most cited first · ← Lei Fang

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. 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. DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world EnvironmentsConference on Empirical Methods in Natural Language Processing (EMNLP)Yuxiang Zheng, Dayuan Fu, Xiangkun Hu, et al.2025 · 113 citations
4. WebDancer: Towards Autonomous Information Seeking AgencyConference on Neural Information Processing Systems (NeurIPS)Jialong Wu, Baixuan Li, Runnan Fang, et al.2025 · 50 citations
5. ZeroSearch: Incentivize the Search Capability of LLMs without SearchingarXiv:2505.04588Hao Sun, Zile Qiao, Jiayan Guo, et al.2025 · 50 citations
6. Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Sikuan Yan, Xiufeng Yang, Zuchao Huang, et al.2026 · 49 citations
7. WebAgent-R1: Training Web Agents via End-to-End Multi-Turn Reinforcement LearningConference on Empirical Methods in Natural Language Processing (EMNLP)Zhepei Wei, Wenlin Yao, Yao Liu, et al.2025 · 36 citations
8. WideSearch: Benchmarking Agentic Broad Info-SeekingarXiv:2508.07999Ryan Wong, Jiawei Wang, Junjie Zhao, et al.2025 · 20 citations
9. StepSearch: Igniting LLMs Search Ability via Step-Wise Proximal Policy OptimizationConference on Empirical Methods in Natural Language Processing (EMNLP)Xuhui Zheng, Kang An, Ziliang Wang, et al.2025 · 19 citations
10. Unlocking General Long Chain-of-Thought Reasoning Capabilities of Large Language Models via Representation EngineeringAnnual Meeting of the Association for Computational Linguistics (ACL)Xinyu Tang, Xiaolei Wang, Zhihao Lv, et al.2025 · 19 citations
11. Search and Refine During Think: Facilitating Knowledge Refinement for Improved Retrieval-Augmented ReasoningConference on Neural Information Processing Systems (NeurIPS)Yaorui Shi, Sihang Li, Chang Wu, et al.2025 · 18 citations
12. 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
13. RaDeR: Reasoning-aware Dense Retrieval ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Debrup Das, Sam O'Nuallain, Razieh Rahimi2025 · 14 citations
14. ConvSearch-R1: Enhancing Query Reformulation for Conversational Search with Reasoning via Reinforcement LearningConference on Empirical Methods in Natural Language Processing (EMNLP)Changtai Zhu, Siyin Wang, Ruijun Feng, et al.2025 · 13 citations
15. POSITION BIAS MITIGATES POSITION BIAS: Mitigate Position Bias Through Inter-Position Knowledge DistillationConference on Empirical Methods in Natural Language Processing (EMNLP)Yifei Wang, Feng Xiong, Yong Wang, et al.2025 · 13 citations
16. s3: You Don't Need That Much Data to Train a Search Agent via RLConference on Empirical Methods in Natural Language Processing (EMNLP)Pengcheng Jiang, Xueqiang Xu, Jiacheng Lin, et al.2025 · 12 citations
17. Retrieval as Generation: A Unified Framework with Self-Triggered Information PlanningAnnual Meeting of the Association for Computational Linguistics (ACL)Bo Li, Mingda Wang, Gexiang Fang, et al.2026 · 8 citations
18. R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement LearningFindings of the Association for Computational LinguisticsQingfei Zhao, Ruobing Wang, Dingling Xu, et al.2026 · 7 citations
19. NOVER: Incentive Training for Language Models via Verifier-Free Reinforcement LearningConference on Empirical Methods in Natural Language Processing (EMNLP)Wei Liu, Siya Qi, Xinyu Wang, et al.2025 · 7 citations
20. ChatR1: Reinforcement Learning for Conversational Reasoning and Retrieval Augmented Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Simon Lupart, Mohammad Aliannejadi, Evangelos Kanoulas2026 · 5 citations
21. KnowRL: Exploring Knowledgeable Reinforcement Learning for FactualityAnnual Meeting of the Association for Computational Linguistics (ACL)Baochang Ren, Shuofei Qiao, Ningyu Zhang, et al.2026 · 5 citations
22. Temp-R1: A Unified Autonomous Agent for Complex Temporal KGQA via Reverse Curriculum Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Zhaoyan Gong, Zhiqiang Liu, Songze Li, et al.2026 · 4 citations
23. Test-time Corpus Feedback: From Retrieval to RAGFindings of the Association for Computational LinguisticsMandeep Rathee, Venktesh V, Sean MacAvaney, et al.2026 · 4 citations
24. The Reasoning Trap: How Enhancing LLM Reasoning Amplifies Tool HallucinationAnnual Meeting of the Association for Computational Linguistics (ACL)Chenlong Yin, Zeyang Sha, Shiwen Cui, et al.2026 · 3 citations
25. Agentic Conversational Search with Contextualized Reasoning via Reinforcement LearningFindings of the Association for Computational LinguisticsFengran Mo, Yifan Gao, Sha Li, et al.2026 · 2 citations
26. Search-P1: Path-Centric Reward Shaping for Stable and Efficient Agentic RAG TrainingAnnual Meeting of the Association for Computational Linguistics (ACL)Tianle Xia, Ming Xu, Lingxiang Hu, et al.2026 · 2 citations
27. Timely Machine: Awareness of Time Makes Test-Time Scaling AgenticAnnual Meeting of the Association for Computational Linguistics (ACL)Yichuan Ma, Linyang Li, Yongkang Chen, et al.2026 · 2 citations
28. Breaking the Evaluation Paradox: Evaluating High-Entropy Search with Computationally Irreducible ConstraintsFindings of the Association for Computational LinguisticsJuntao Wu, Wei Wen, Xianting Huang, et al.2026 · 1 citation
29. ComfyUI-R1: Exploring Reasoning Models for Workflow GenerationFindings of the Association for Computational LinguisticsZhenran Xu, Yiyu Wang, Xue Yang, et al.2026 · 1 citation
30. SafeSearch: Do Not Trade Safety for Utility in LLM Search AgentsFindings of the Association for Computational LinguisticsQiusi Zhan, Angeline Budiman-Chan, Abdelrahman Zayed, et al.2026 · 1 citation
31. Scaling External Knowledge Input Beyond Context Windows of LLMs via Multi-Agent CollaborationAnnual Meeting of the Association for Computational Linguistics (ACL)Zijun Liu, Zhennan Wan, Peng Li, et al.2026 · 1 citation
32. AgentGL: Towards Agentic Graph Learning with LLMs via Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Yuanfu Sun, Kang Li, Dongzhe Fan, et al.2026
33. AutoSearch: Adaptive Search Depth for Efficient Agentic RAG via Reinforcement LearningFindings of the Association for Computational LinguisticsJingbo Sun, Wenyue Chong, Songjun Tu, et al.2026
34. Beyond the Context Window: Scaling Agentic RL via End-to-end Optimized Context CompressionAnnual Meeting of the Association for Computational Linguistics (ACL)Miao Lu, Weiwei Sun, Weihua Du, et al.2026
35. Domain-Specific Data Generation Framework for RAG AdaptationFindings of the Association for Computational LinguisticsChris Xing Tian, Weihao Xie, Zhen Chen, et al.2026
36. D²Plan: Dual-Agent Dynamic Global Planning for Complex Retrieval-Augmented ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Kangcheng Luo, Tinglang Wu, Yansong Feng2026
37. Enhancing LLM-based Search Agents via Contribution Weighted Group Relative Policy OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)Junzhe Wang, Zhiheng Xi, Yajie Yang, et al.2026
38. KARL: Reinforcement Learning for LLM Agents on Multi-Turn Knowledge-Intensive Agentic TasksAnnual Meeting of the Association for Computational Linguistics (ACL)Xueqiao Sun, Xiao Liu, Bowen Lv, et al.2026
39. Reasoning with Memory: Adaptive Information Management for Retrieval-Augmented GenerationFindings of the Association for Computational LinguisticsHieu Man, Ro-ee Tal, Abhishek Kumar, et al.2026
40. Reinforcing Agentic Search Via Reward Density OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)Kun Luo, Hongjin Qian, Zheng Liu, et al.2026

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