🔗 Who cites «ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning»

88 papers of our library cite it (of the 149,439 whose bibliographies we read) · 39 with a page here, the most cited first · ← back to «ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning»

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. WebThinker: Empowering Large Reasoning Models with Deep Research CapabilityConference on Neural Information Processing Systems (NeurIPS)Xiaoxi Li, Jiajie Jin, Guanting Dong, et al.2025 · 72 citations
5. WebDancer: Towards Autonomous Information Seeking AgencyConference on Neural Information Processing Systems (NeurIPS)Jialong Wu, Baixuan Li, Runnan Fang, et al.2025 · 50 citations
6. 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
7. VRAG-RL: Empower Vision-Perception-Based RAG for Visually Rich Information Understanding via Iterative Reasoning with Reinforcement LearningConference on Neural Information Processing Systems (NeurIPS)Qiuchen Wang, Ruixue Ding, Yu Zeng, et al.2025 · 23 citations
8. ResearchTown: Simulator of Human Research CommunityarXiv:2412.17767Haofei Yu, Zhaochen Hong, Zirui Cheng, et al.2024 · 23 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. 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
11. 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
12. 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
13. 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
14. TSPO: Breaking the Double Homogenization Dilemma in Multi-turn Search Policy OptimizationFindings of the Association for Computational LinguisticsShichao Ma, Zhiyuan Ma, Ming Yang, et al.2026 · 7 citations
15. CriticSearch: Fine-Grained Credit Assignment for Search Agents via a Retrospective CriticFindings of the Association for Computational LinguisticsYaocheng Zhang, Haohuan Huang, Zijun Song, et al.2026 · 6 citations
16. LoopTool: Closing the Data–Training Loop for Robust LLM Tool CallsAnnual Meeting of the Association for Computational Linguistics (ACL)Kangning Zhang, Weiwen Liu, Wenxiang Jiao, et al.2026 · 6 citations
17. 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
18. Language-Coupled Reinforcement Learning for Multilingual Retrieval-Augmented GenerationFindings of the Association for Computational LinguisticsRui Qi, Fengran Mo, Yufeng Chen, et al.2026 · 5 citations
19. 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
20. 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
21. 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
22. AgenticRAGTracer: A Hop-Aware Benchmark for Diagnosing Multi-Step Retrieval Reasoning in Agentic RAGFindings of the Association for Computational LinguisticsQijie You, Wenkai Yu, Hao Liang, et al.2026 · 1 citation
23. A Survey of Large Language Model-Based Search AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Yunjia Xi, Jianghao Lin, Yongzhao Xiao, et al.2026
24. Adversarial Yet Cooperative: Multi-Perspective Reasoning in Retrieved-Augmented Language ModelsFindings of the Association for Computational LinguisticsCan Xu, Lingyong Yan, Jiayi Wu, et al.2026
25. 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
26. ALDEN: Reinforcement Learning for Active Navigation and Evidence Gathering in Long DocumentsAnnual Meeting of the Association for Computational Linguistics (ACL)Tianyu Yang, Terry Ruas, Yijun Tian, et al.2026
27. Crossing the Reward Bridge: Expanding Reinforcement Learning with Verifiable Rewards Across Diverse DomainsAnnual Meeting of the Association for Computational Linguistics (ACL)Yi Su, Dian Yu, Linfeng Song, et al.2026
28. Deliberative Searcher: Improving LLM Reliability via Reinforcement Learning with ConstraintsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhenyun Yin, Shujie Wang, Xuhong Wang, et al.2026
29. 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
30. Eval-RAR: Evaluation-Driven Retrieval-Augmented Reasoning via Reinforcement LearningFindings of the Association for Computational LinguisticsHeng Yu, Rui Li, Qi Liu, et al.2026
31. 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
32. MemSearcher: Iterative Memory Integration for Search Agent via End-to-End Reinforcement LearningFindings of the Association for Computational LinguisticsQianhao Yuan, Jie Lou, Zichao Li, et al.2026
33. Mitigating Context Interference for Reliable and Efficient Search AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Boyang Xue, Bin Wu, Shuofei Qiao, et al.2026
34. Over-Searching in Search-Augmented Large Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Roy Xie, Deepak Gopinath, David Qiu, et al.2026
35. Reflective RAG: Self-Evaluation Driven Strategy Optimization in Agentic Retrieval-Augmented GenerationFindings of the Association for Computational LinguisticsHaiyan Wu, Chenchen Wang, Chaoqun Sun, et al.2026
36. Reinforcing Agentic Search Via Reward Density OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)Kun Luo, Hongjin Qian, Zheng Liu, et al.2026
37. Rethinking Text-to-SQL: Dynamic Multi-turn SQL Interaction for Real-world Database ExplorationFindings of the Association for Computational LinguisticsLinzhuang Sun, Tianyu Guo, Hao Liang, et al.2026
38. Tailored Primitive Initialization is the Secret Key to Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Yihang Yao, Guangtao Zeng, Raina Wu, et al.2026
39. WebClipper: Efficient Evolution of Web Agents with Graph-based Trajectory PruningAnnual Meeting of the Association for Computational Linguistics (ACL)Junjie Wang, Zequn Xie, Dan Yang, et al.2026

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