🧑‍🔬 Who cites Naman Garg

117 citations of their works from 111 papers of our library (of the 149,439 whose bibliographies we read) · 29 with a page here, the most cited first · ← Naman Garg

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. Training Language Models to Self-Correct via Reinforcement LearningarXiv:2409.12917Aviral Kumar, Vincent Zhuang, Rishabh Agarwal, et al.2024 · 159 citations
3. Agent Laboratory: Using LLM Agents as Research AssistantsarXiv:2501.04227Samuel Schmidgall, Yusheng Su, Ze Wang, et al.2025 · 139 citations
4. Cognitive Behaviors that Enable Self-Improving Reasoners, or, Four Habits of Highly Effective STaRsarXiv:2503.01307Kanishk Gandhi, Ayush Chakravarthy, Anikait Singh, et al.2025 · 123 citations
5. UI-TARS: Pioneering Automated GUI Interaction with Native AgentsarXiv:2501.12326Yujia Qin, Yining Ye, Junjie Fang, et al.2025 · 112 citations
6. O1 Replication Journey: A Strategic Progress Report — Part 1arXiv:2410.18982Yiwei Qin, Xuefeng Li, Haoyang Zou, et al.2024 · 86 citations
7. 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
8. A Peek into Token Bias: Large Language Models Are Not Yet Genuine ReasonersConference on Empirical Methods in Natural Language Processing (EMNLP)Bowen Jiang, Yangxinyu Xie, Zhuoqun Hao, et al.2024 · 64 citations
9. VinePPO: Refining Credit Assignment in RL Training of LLMsarXiv:2410.01679Amirhossein Kazemnejad, Milad Aghajohari, Eva Portelance, et al.2024 · 63 citations
10. Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time ScalingarXiv:2502.06703Runze Liu, Junqi Gao, Jian Zhao, et al.2025 · 41 citations
11. 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
12. PaSa: An LLM Agent for Comprehensive Academic Paper SearchAnnual Meeting of the Association for Computational Linguistics (ACL)Yichen He, Guanhua Huang, Peiyuan Feng, et al.2025 · 29 citations
13. S²R: Teaching LLMs to Self-verify and Self-correct via Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Ruotian Ma, Peisong Wang, Cheng Liu, et al.2025 · 26 citations
14. AI4Research: A Survey of Artificial Intelligence for Scientific ResearchScience China Information SciencesQiguang Chen, Mingda Yang, Libo Qin, et al.2025 · 21 citations
15. A Survey of Post-Training Scaling in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Hanyu Lai, Xiao Liu, Junjie Gao, et al.2025 · 18 citations
16. OpenWebVoyager: Building Multimodal Web Agents via Iterative Real-World Exploration, Feedback and OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)Hongliang He, Wenlin Yao, Kaixin Ma, et al.2025 · 18 citations
17. ChemAgent: Self-updating Library in Large Language Models Improves Chemical ReasoningarXiv:2501.06590Xiangru Tang, Tianyu Hu, Muyang Ye, et al.2025 · 15 citations
18. MAPoRL: Multi-Agent Post-Co-Training for Collaborative Large Language Models with Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Chanwoo Park, Seungju Han, Xingzhi Guo, et al.2025 · 15 citations
19. WebEvolver: Enhancing Web Agent Self-Improvement with Co-evolving World ModelConference on Empirical Methods in Natural Language Processing (EMNLP)Tianqing Fang, Hongming Zhang, Zhisong Zhang, et al.2025 · 11 citations
20. 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
21. PAG: Multi-Turn Reinforced LLM Self-Correction with Policy as Generative VerifierarXiv:2506.10406Yuhua Jiang, Yuwen Xiong, Yufeng Yuan, et al.2025 · 8 citations
22. Don't Act Blindly: Robust GUI Automation via Action-Effect Verification and Self-CorrectionAnnual Meeting of the Association for Computational Linguistics (ACL)Yuzhe Zhang, Xianwei Xue, Xingyong Wu, et al.2026 · 5 citations
23. EvoRoute: Experience-Driven Self-Routing LLM Agent SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Guibin Zhang, Haiyang Yu, Kaiming Yang, et al.2026 · 2 citations
24. MedMCP-Calc: Benchmarking LLMs for Realistic Medical Calculator Scenarios via MCP IntegrationAnnual Meeting of the Association for Computational Linguistics (ACL)Yakun Zhu, Yutong Huang, Shengqian Qin, et al.2026 · 2 citations
25. A Survey on LLM-based Conversational User SimulationConference of the European Chapter of the Association for Computational Linguistics (EACL)Bo Ni, Yu Wang, Leyao Wang, et al.2026 · 1 citation
26. Children's English Reading Story Generation via Supervised Fine-Tuning of Compact LLMs with Controllable Difficulty and SafetyQian Shen, Fanghua Cao, Min Yao, et al.2026 · 1 citation
27. Don't Click That: Teaching Web Agents to Resist Deceptive InterfacesAnnual Meeting of the Association for Computational Linguistics (ACL)Yilin Zhang, Yingkai Hua, Chunyu Wei, et al.2026 · 1 citation
28. Beyond Examples: Towards Automated Thought-level In-Context Reasoning for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jinyang Wu, Mingkuan Feng, Shuai Zhang, et al.2026
29. FormGym: Doing Paperwork with AgentsConference of the European Chapter of the Association for Computational Linguistics (EACL)Matthew Toles, Isaac Song, Rattandeep Singh, et al.2026

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