🔗 Who cites «ToolRL: Reward is All Tool Learning Needs»

91 papers of our library cite it (of the 149,439 whose bibliographies we read) · 40 with a page here, the most cited first · ← back to «ToolRL: Reward is All Tool Learning Needs»

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. WebDancer: Towards Autonomous Information Seeking AgencyConference on Neural Information Processing Systems (NeurIPS)Jialong Wu, Baixuan Li, Runnan Fang, et al.2025 · 50 citations
4. 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
5. 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
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. Distilling LLM Agent into Small Models with Retrieval and Code ToolsarXiv:2505.17612Minki Kang, Jongwon Jeong, Seanie Lee, et al.2025 · 11 citations
8. 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
9. Agentic Memory: Learning Unified Long-Term and Short-Term Memory Management for Large Language Model AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Yi Yu, Liuyi Yao, Yuexiang Xie, et al.2026 · 6 citations
10. 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
11. EVOTOOL: Self-Evolving Tool-Use Policy Optimization in LLM Agents via Blame-Aware Mutation and Diversity-Aware SelectionAnnual Meeting of the Association for Computational Linguistics (ACL)Shuo Yang, Caren Han, Xueqi Ma, et al.2026 · 6 citations
12. Feedback-Driven Tool-Use Improvements in Large Language Models via Automated Build EnvironmentsFindings of the Association for Computational LinguisticsJunjie Ye, Changhao Jiang, Zhengyin Du, et al.2026 · 6 citations
13. 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
14. rStar2-Agent: Agentic Reasoning Technical ReportarXiv:2508.20722Ning Shang, Yifei Liu, Yi Zhu, et al.2025 · 6 citations
15. 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
16. ToolScope: Enhancing LLM Agent Tool Use through Tool Merging and Context-Aware FilteringAnnual Meeting of the Association for Computational Linguistics (ACL)Marianne Menglin Liu, Daniel Garcia, Fjona Parllaku, et al.2026 · 4 citations
17. Behavior Knowledge Merge in Reinforced Agentic ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Xiangchi Yuan, Dachuan Shi, Chunhui Zhang, et al.2026 · 3 citations
18. 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
19. 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
20. ToolGate: Contract-Grounded and Verified Tool Execution for LLMsFindings of the Association for Computational LinguisticsYanming Liu, Xinyue Peng, Jiannan Cao, et al.2026 · 3 citations
21. 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
22. 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
23. ComfyUI-R1: Exploring Reasoning Models for Workflow GenerationFindings of the Association for Computational LinguisticsZhenran Xu, Yiyu Wang, Xue Yang, et al.2026 · 1 citation
24. 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
25. MemoBrain: Executive Memory as an Agentic Brain for ReasoningFindings of the Association for Computational LinguisticsHongjin Qian, Zhao Cao, Zheng Liu2026 · 1 citation
26. 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
27. TInR: Exploring Tool-Internalized Reasoning in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Qiancheng Xu, Yongqi Li, Fan Liu, et al.2026 · 1 citation
28. 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
29. Beyond Static Toolsets: Self-Evolving LLM Tool Agents via Continual Documentation AdaptationFindings of the Association for Computational LinguisticsBin Wu, Edgar Meij, Emine Yilmaz2026
30. 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
31. Complex-IF and Beyond: Expert Rubrics for RLVRWorkshop on Generation, Evaluation and Metrics (GEM)Sushant Mehta, Liudas Panavas, Eleanor Fleming, et al.2026
32. Consolidation or Adaptation? PRISM: Disentangling SFT and RL Data via Gradient ConcentrationAnnual Meeting of the Association for Computational Linguistics (ACL)Yang Zhao, Yangou Ouyang, Xiao Ding, et al.2026
33. FeedTrans: Enhance Machine Translation via FeedbackTransactions of the Association for Computational Linguistics (TACL)Zengkui Sun, Jiali Zeng, Jiaan Wang, et al.2026
34. GenesisFunc: Multi-Agent Data Generation for Accurate and Generalizable Function-CallingAnnual Meeting of the Association for Computational Linguistics (ACL)Hao-Xiang Xu, Chong Deng, Jiaqing Liu, et al.2026
35. 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
36. Knowledge is Not Enough: Injecting RL Skills for Continual AdaptationAnnual Meeting of the Association for Computational Linguistics (ACL)Pingzhi Tang, Yiding Wang, Muhan Zhang2026
37. PARIF: Pushing the Pareto Frontier of Instruction Following and Reasoning with Curriculum Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Rongchuan Mu, Zexin Wang, Qianyu Wang, et al.2026
38. 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
39. 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
40. ToolCPT: Improving Tool Utilization in LLM Agents via Continuous Pre-trainingFindings of the Association for Computational LinguisticsYifan Yang, Jinghui Lu, Evadeng, et al.2026

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