🔗 Who cites «ReTool: Reinforcement Learning for Strategic Tool Use in LLMs»

85 papers of our library cite it (of the 149,439 whose bibliographies we read) · 29 with a page here, the most cited first · ← back to «ReTool: Reinforcement Learning for Strategic Tool Use in LLMs»

1. 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
2. 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
3. UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement LearningarXiv:2509.02544Haoming Wang, Haoyang Zou, Huatong Song, et al.2025 · 26 citations
4. START: Self-taught Reasoner with ToolsConference on Empirical Methods in Natural Language Processing (EMNLP)Chengpeng Li, Mingfeng Xue, Zhenru Zhang, et al.2025 · 21 citations
5. Seed-Prover 1.5: Mastering Undergraduate-Level Theorem Proving via Learning from ExperiencearXiv:2512.17260Jiangjie Chen, Wenxiang Chen, Jiacheng Du, et al.2025 · 19 citations
6. VerIF: Verification Engineering for Reinforcement Learning in Instruction FollowingConference on Empirical Methods in Natural Language Processing (EMNLP)Hao Peng, Yunjia Qi, Xiaozhi Wang, et al.2025 · 18 citations
7. ATLAS: Orchestrating Heterogeneous Models and Tools for Multi-Domain Complex ReasoningFindings of the Association for Computational LinguisticsJinyang Wu, Guocheng Zhai, Ruihan Jin, et al.2026 · 8 citations
8. 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
9. 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
10. rStar2-Agent: Agentic Reasoning Technical ReportarXiv:2508.20722Ning Shang, Yifei Liu, Yi Zhu, et al.2025 · 6 citations
11. Mem²Evolve: Towards Self-Evolving Agents via Co-Evolutionary Capability Expansion and Experience DistillationAnnual Meeting of the Association for Computational Linguistics (ACL)Zihao Cheng, Zeming Liu, Yingyu Shan, et al.2026 · 5 citations
12. Learning While Staying Curious: Entropy-Preserving Supervised Fine-Tuning via Adaptive Self-Distillation for Large Reasoning ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Hao Wang, Hao Gu, Hongming Piao, et al.2026 · 3 citations
13. Lost in Execution: On the Multilingual Robustness of Tool Calling in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zheng Luo, T Pranav Kutralingam, Ogochukwu N. Okoani, et al.2026 · 3 citations
14. Failure makes the agent stronger: Enhancing Accuracy through Structured Reflection for Reliable Tool InteractionsFindings of the Association for Computational LinguisticsJunhao Su, Yuanliang Wan, Junwei Yang, et al.2026 · 2 citations
15. 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
16. COMPASS: Enhancing Agent Long-Horizon Reasoning with Evolving ContextAnnual Meeting of the Association for Computational Linguistics (ACL)Guangya Wan, Mingyang Ling, Xiaoqi Ren, et al.2026 · 1 citation
17. 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
18. MatchTIR: Fine-Grained Supervision for Tool-Integrated Reasoning via Bipartite MatchingAnnual Meeting of the Association for Computational Linguistics (ACL)Changle Qu, Sunhao Dai, Hengyi Cai, et al.2026 · 1 citation
19. SepSeq: A Training-Free Framework for Long Numerical Sequence Processing in LLMsFindings of the Association for Computational LinguisticsJie Sun, Yu Liu, Lu Han, et al.2026 · 1 citation
20. 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
21. AgentV-RL: Scaling Reward Modeling with Agentic VerifierFindings of the Association for Computational LinguisticsJiazheng Zhang, Ziche Fu, Zhiheng Xi, et al.2026
22. Aligning Agents via Planning: A Benchmark for Trajectory-Level Reward ModelingAnnual Meeting of the Association for Computational Linguistics (ACL)Jiaxuan Wang, Yulan Hu, Wenjin Yang, et al.2026
23. Mixture-of-Minds: Multi-Agent Reinforcement Learning for Table UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL)Yuhang Zhou, Mingrui Zhang, Ke Li, et al.2026
24. QFinZero: A Unified Financial Toolchain for LLM-Based Trading AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Haochen Luo, Yifan LI, Ho Tin Ko, et al.2026
25. ScaleBox: Enabling High-Fidelity and Scalable Code Verification for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jiasheng Zheng, Xin Zheng, Boxi Cao, et al.2026
26. SGA-MCTS: Decoupling Planning from Execution via Training-Free Atomic Experience RetrievalFindings of the Association for Computational LinguisticsXin Xie, Dongyun Xue, Wuguannan Yao, et al.2026
27. ToolCPT: Improving Tool Utilization in LLM Agents via Continuous Pre-trainingFindings of the Association for Computational LinguisticsYifan Yang, Jinghui Lu, Evadeng, et al.2026
28. Training Verifier to Assessing Complex Real-World Tool-Use TrajectoriesFindings of the Association for Computational LinguisticsLinzhuang Sun, Mingyang Chen, Hao Liang, et al.2026
29. When to Trust Tools? Adaptive Tool Trust Calibration For Tool-Integrated Math ReasoningFindings of the Association for Computational LinguisticsRuotao Xu, Yixin Ji, Yu Luo, et al.2026

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