🧑‍🔬 Who cites Kangrui Wang

112 citations of their works from 107 papers of our library (of the 149,439 whose bibliographies we read) · 33 with a page here, the most cited first · ← Kangrui Wang

1. 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
2. Group-in-Group Policy Optimization for LLM Agent TrainingConference on Neural Information Processing Systems (NeurIPS)Lang Feng, Zhenghai Xue, Tingcong Liu, et al.2025 · 69 citations
3. Kevin: Multi-Turn RL for Generating CUDA KernelsarXiv 2025Carlo Baronio, Pietro Marsella, Ben Pan, et al.2025 · 69 citations
4. 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
5. How Is LLM Reasoning Distracted by Irrelevant Context? An Analysis Using a Controlled BenchmarkMinglai Yang, Ethan Huang, Liang Zhang, et al.2025 · 25 citations
6. 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
7. 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
8. Reinforcement Learning for Self-Improving Agent with Skill LibraryAnnual Meeting of the Association for Computational Linguistics (ACL)Jiongxiao Wang, Qiaojing Yan, Yawei Wang, et al.2026 · 8 citations
9. PAG: Multi-Turn Reinforced LLM Self-Correction with Policy as Generative VerifierarXiv:2506.10406Yuhua Jiang, Yuwen Xiong, Yufeng Yuan, et al.2025 · 8 citations
10. ProgressLM: Towards Progress Reasoning in Vision-Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jianshu Zhang, Chengxuan Qian, Haosen Sun, et al.2026 · 7 citations
11. 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
12. OctoTools: A Multi-Agent Framework with Extensible Tools for Complex ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Pan Lu, Bowen Chen, Sheng Liu, et al.2026 · 5 citations
13. Traffic-R1: Reinforced LLMs Bring Human-Like Reasoning to Traffic Signal Control SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Xingchen Zou, Yuhao Yang, Zheng Chen, et al.2026 · 4 citations
14. From Storage to Experience: A Survey on the Evolution of LLM Agent Memory MechanismsFindings of the Association for Computational LinguisticsJinghao Luo, Yuchen Tian, Chuxue Cao, et al.2026 · 3 citations
15. STReasoner: Empowering LLMs for Spatio-Temporal Reasoning in Time Series via Spatial-Aware Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Juntong Ni, Shiyu Wang, Qi He, et al.2026 · 3 citations
16. 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
17. TROJail: Trajectory-Level Optimization for Multi-Turn Large Language Model Jailbreaks with Process RewardsAnnual Meeting of the Association for Computational Linguistics (ACL)Xiqiao Xiong, Ouxiang Li, Zhuo Liu, et al.2026 · 3 citations
18. STEP3-VL-10B Technical ReportarXiv:2601.09668Ailin Huang, Chengyuan Yao, Chunrui Han, et al.2026 · 2 citations
19. Clutch or Cry at SemEval-2026 Task 12: Offline Retrieval-Augmented Generation with Frozen DeBERTa for Abductive Event ReasoningInternational Workshop on Semantic Evaluation (SemEval)Aayush Prasad, Rudra Trivedi, Arshad Khatib, et al.2026 · 1 citation
20. CoVerRL: Breaking the Consensus Trap in Label-Free Reasoning via Generator-Verifier Co-EvolutionAnnual Meeting of the Association for Computational Linguistics (ACL)Teng Pan, Yuchen Yan, Zixuan Wang, et al.2026 · 1 citation
21. Current Agents Fail to Leverage World Model as Tool for ForesightAnnual Meeting of the Association for Computational Linguistics (ACL)Cheng Qian, Emre Can Acikgoz, Bingxuan Li, et al.2026 · 1 citation
22. 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
23. AT\texttwosuperiorPO: Agentic Turn-based Policy Optimization via Tree SearchAnnual Meeting of the Association for Computational Linguistics (ACL)Zefang Zong, Dingwei Chen, Yang Li, et al.2026
24. CRPS: Curriculum Replay via Progressive Suffixes from Successful Trajectories for Long-Horizon LLM AgentsFindings of the Association for Computational LinguisticsZijing Zhang, Xiajie Yang2026
25. Experience-driven Multi-turn Reinforcement Learning for GUI AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhengxi Lu, Jiabo Ye, Fei Tang, et al.2026
26. Exploiting Tree Structure for Credit Assignment in Reinforcement Learning with Large Language ModelsFindings of the Association for Computational LinguisticsHieu Tran, Zonghai Yao, Hong yu2026
27. From Implicit Graph Encoding to Explicit Evidence: A Training-Free LLM Framework for Temporal Knowledge Graph ReasoningFindings of the Association for Computational LinguisticsGuo Tang, Ke Cheng, Huiming Fan, et al.2026
28. On-policy Reinforcement Fine-tuning with Offline reward for Multi-step Embodied PlanningAnnual Meeting of the Association for Computational Linguistics (ACL)Di Wu, Jiaxin Fan, Chloe Gu, et al.2026
29. Pause or Fabricate? Training Language Models for Grounded ReasoningFindings of the Association for Computational LinguisticsYiwen Qiu, Linjuan Wu, Yizhou Liu, et al.2026
30. Qwen-AgentWorld: Language World Models for General AgentsarXiv:2606.24597Yuxin Zuo, Zikai Xiao, Li Sheng, et al.2026
31. RepoDistill: Distilling Repository Knowledge through Compression-Aware Budget Allocation and Policy OptimizationFindings of the Association for Computational LinguisticsXin Yin, Zixiang Ding, Yiang Zhang, et al.2026
32. Seeing Isn't Believing: Mitigating Belief Inertia via Active Intervention in Embodied AgentsFindings of the Association for Computational LinguisticsHanlin Wang, Chak Tou Leong, Jian Wang, et al.2026
33. SOLAR-RL: Semi-Online Long-horizon Assignment Reinforcement LearningFindings of the Association for Computational LinguisticsJichao Wang, Liuyang Bian, Yufeng Zhou, et al.2026

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