🧑‍🔬 Who cites Peter Stone

312 citations of their works from 300 papers of our library (of the 149,439 whose bibliographies we read) · 56 with a page here, the most cited first · ← Peter Stone

1. A Survey of Large Language ModelsFrontiers of Computer ScienceWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,875 citations
2. The Rise and Potential of Large Language Model Based Agents: A SurveyScience China Information SciencesZhiheng Xi, Wenxiang Chen, Xin Guo, et al.2023 · 1,272 citations
3. AgentBench: Evaluating LLMs as AgentsarXiv:2308.03688Xiao Liu, Hao Yu, Hanchen Zhang, et al.2023 · 432 citations
4. Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical ReasoningarXiv:2305.12295Liangming Pan, Alon Albalak, Xinyi Wang, et al.2023 · 374 citations
5. Empowering Biomedical Discovery with AI AgentsarXiv:2404.02831Shanghua Gao, Ada Fang, Yepeng Huang, et al.2024 · 333 citations
6. A Review of Large Language Models and Autonomous Agents in ChemistryarXiv:2407.01603Mayk Caldas Ramos, Christopher J. Collison, Andrew D. White2024 · 288 citations
7. On the Planning Abilities of Large Language Models : A Critical InvestigationConference on Neural Information Processing Systems (NeurIPS)Karthik Valmeekam, Matthew Marquez, Sarath Sreedharan, et al.2023 · 191 citations
8. ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool EmbeddingsConference on Neural Information Processing Systems (NeurIPS)Shibo Hao, Tianyang Liu, Zhen Wang, et al.2023 · 147 citations
9. Eureka: Human-Level Reward Design via Coding Large Language ModelsarXiv:2310.12931Yecheng Jason Ma, William Liang, Guanzhi Wang, et al.2023 · 142 citations
10. To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoningarXiv:2409.12183Zayne Sprague, Fangcong Yin, Juan Diego Rodriguez, et al.2024 · 138 citations
11. Theory of Mind for Multi-Agent Collaboration via Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Huao Li, Yu Chong, Simon Stepputtis, et al.2023 · 138 citations
12. Understanding the planning of LLM agents: A surveyarXiv:2402.02716Xu Huang, Weiwen Liu, Xiaolong Chen, et al.2024 · 128 citations
13. TravelPlanner: A Benchmark for Real-World Planning with Language AgentsarXiv:2402.01622Jian Xie, Kai Zhang, Jiangjie Chen, et al.2024 · 125 citations
14. Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and FuturearXiv:2309.15402Zheng Chu, Jingchang Chen, Qianglong Chen, et al.2023 · 125 citations
15. FAST: Efficient Action Tokenization for Vision-Language-Action ModelsarXiv:2501.09747Karl Pertsch, Kyle Stachowicz, Brian Ichter, et al.2025 · 123 citations
16. A Real-World WebAgent with Planning, Long Context Understanding, and Program SynthesisarXiv:2307.12856Izzeddin Gur, Hiroki Furuta, Austin Huang, et al.2023 · 120 citations
17. Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task PlanningConference on Neural Information Processing Systems (NeurIPS)Lin Guan, Karthik Valmeekam, Sarath Sreedharan, et al.2023 · 115 citations
18. Generalized Planning in PDDL Domains with Pretrained Large Language ModelsProceedings of the AAAI Conference on Artificial IntelligenceTom Silver, Soham Dan, Kavitha Srinivas, et al.2023 · 112 citations
19. PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt OptimizationarXiv:2310.16427Xinyuan Wang, Chenxi Li, Zhen Wang, et al.2023 · 102 citations
20. FireAct: Toward Language Agent Fine-tuningarXiv:2310.05915Baian Chen, Chang Shu, Ehsan Shareghi, et al.2023 · 101 citations
21. Identifying the Risks of LM Agents with an LM-Emulated SandboxarXiv:2309.15817Yangjun Ruan, Honghua Dong, Andrew Wang, et al.2023 · 96 citations
22. LLMs Can't Plan, But Can Help Planning in LLM-Modulo FrameworksarXiv:2402.01817 · Proceedings of the 41 st International Conference on Machine Learning, Vienna, Austria. PMLR 235, 2024Subbarao Kambhampati, Karthik Valmeekam, Lin Guan, et al.2024 · 88 citations
23. Large Language Models as General Pattern MachinesarXiv:2307.04721Suvir Mirchandani, Fei Xia, Pete Florence, et al.2023 · 88 citations
24. RAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement LearningarXiv:2504.20073Zihan Wang, Kangrui Wang, Qineng Wang, et al.2025 · 71 citations
25. LegalAgentBench: Evaluating LLM Agents in Legal DomainAnnual Meeting of the Association for Computational Linguistics (ACL)Haitao Li, Junjie Chen, Jingli Yang, et al.2025 · 62 citations
26. SatLM: Satisfiability-Aided Language Models Using Declarative PromptingConference on Neural Information Processing Systems (NeurIPS)Xi Ye, Qiaochu Chen, Isil Dillig, et al.2023 · 62 citations
27. PlanGenLLMs: A Modern Survey of LLM Planning CapabilitiesAnnual Meeting of the Association for Computational Linguistics (ACL)Hui Wei, Zihao Zhang, Shenghua He, et al.2025 · 55 citations
28. Q*: Improving Multi-step Reasoning for LLMs with Deliberative PlanningarXiv:2406.14283Chaojie Wang, Yanchen Deng, Zhiyi Lyu, et al.2024 · 53 citations
29. Kimi Linear: An Expressive, Efficient Attention ArchitecturearXiv:2510.26692Kimi Team, Yu Zhang, Zongyu Lin, et al.2025 · 51 citations
30. SayCanPay: Heuristic Planning with Large Language Models using Learnable Domain KnowledgeProceedings of the AAAI Conference on Artificial IntelligenceRishi Hazra, Pedro Zuidberg Dos Martires, Luc De Raedt2023 · 51 citations
31. HiAgent: Hierarchical Working Memory Management for Solving Long-Horizon Agent Tasks with Large Language ModelAnnual Meeting of the Association for Computational Linguistics (ACL)Mengkang Hu, Tianxing Chen, Qiguang Chen, et al.2025 · 49 citations
32. JARVIS-1: Open-World Multi-task Agents with Memory-Augmented Multimodal Language ModelsarXiv:2311.05997Zihao Wang, Shaofei Cai, Anji Liu, et al.2023 · 47 citations
33. DSBench: How Far Are Data Science Agents from Becoming Data Science Experts?arXiv:2409.07703Liqiang Jing, Zhehui Huang, Xiaoyang Wang, et al.2024 · 44 citations
34. Functional Benchmarks for Robust Evaluation of Reasoning Performance, and the Reasoning GaparXiv:2402.19450Saurabh Srivastava, Annarose M B, Anto P, et al.2024 · 35 citations
35. Dynamic Planning with a LLMarXiv:2308.06391Gautier Dagan, Frank Keller, Alex Lascarides2023 · 25 citations
36. RWKV-7 "Goose" with Expressive Dynamic State EvolutionarXiv:2503.14456Bo Peng, Ruichong Zhang, Daniel Goldstein, et al.2025 · 23 citations
37. Can Large Language Models be Good Path Planners? A Benchmark and Investigation on Spatial-temporal ReasoningarXiv:2310.03249Mohamed Aghzal, Erion Plaku, Ziyu Yao2023 · 21 citations
38. Large Language Models Can Solve Real-World Planning Rigorously with Formal Verification ToolsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Yilun Hao, Yongchao Chen, Yang Zhang, et al.2025 · 18 citations
39. Language Models, Agent Models, and World Models: The LAW for Machine Reasoning and PlanningarXiv:2312.05230Zhiting Hu, Tianmin Shu2023 · 18 citations
40. Self-Correcting RAG: Enhancing Faithfulness via MMKP Context Selection and NLI-Guided MCTSFindings of the Association for Computational LinguisticsShijia Xu, Zhou Wu, Xiaolong Jia, et al.2026 · 15 citations
41. Interactive Evolution: A Neural-Symbolic Self-Training Framework For Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Fangzhi Xu, Qiushi Sun, Kanzhi Cheng, et al.2025 · 15 citations
42. Reason for Future, Act for Now: A Principled Framework for Autonomous LLM Agents with Provable Sample EfficiencyarXiv:2309.17382Zhihan Liu, Hao Hu, Shenao Zhang, et al.2023 · 13 citations
43. Planning with Multi-Constraints via Collaborative Language AgentsInternational Conference on Computational Linguistics (COLING)Cong Zhang, Xin Deik Goh, Dexun Li, et al.2025 · 10 citations
44. Libra-VLA: Achieving Learning Equilibrium via Asynchronous Coarse-to-Fine Dual-SystemAnnual Meeting of the Association for Computational Linguistics (ACL)Yifei Wei, Linqing Zhong, Yi Liu, et al.2026 · 1 citation
45. Bring the Apple, Not the Sofa: Impact of Irrelevant Context in Embodied AI Commands on VLA ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Andrey Moskalenko, Daria Pugacheva, Denis Shepelev, et al.2026
46. CARL: Constraint-Aware Reinforcement Learning for Planning with LLMsFindings of the Association for Computational LinguisticsQiuyi Qi, Jinjian Zhang, Mutian Bao, et al.2026
47. Code over Words: Overcoming Semantic Inertia via Code-Grounded ReasoningFindings of the Association for Computational LinguisticsManjie Xu, Isabella Yin, Xinyi Tu, et al.2026
48. Conflict-Aware Memory for Embodied Agents: Enhancing Vector Data Quality via Detection RulesAnnual Meeting of the Association for Computational Linguistics (ACL)Kexin Ma, Haotian Wang, Shenglin Chen, et al.2026
49. From Coarse to Fine: Self-Adaptive Hierarchical Planning for LLM AgentsFindings of the Association for Computational LinguisticsHaoran Tan, Zeyu Zhang, Chen Ma, et al.2026
50. Limited Linguistic Diversity in Embodied AI DatasetsAnnual Meeting of the Association for Computational Linguistics (ACL)Selma Liliane Wanna, Agnes Luhtaru, Jonathan Salfity, et al.2026
51. MIRTH: Mutual-Information Reasoning with Temporal Hubs for Vision-Language-Action AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Hao Sun, Yu Song, Teng Shiyu, et al.2026
52. Model-Based Imaginative Planning for Embodied AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Junru Song, Hengzhe Jin, Yucong Huang, et al.2026
53. ParaCook: On Time-Efficient Planning for Multi-Agent SystemsFindings of the Association for Computational LinguisticsShiqi Zhang, Xinbei Ma, Yunqing Xu, et al.2026
54. SilentDrift: Exploiting Action Chunking for Stealthy Backdoor Attacks on Vision-Language-Action ModelsFindings of the Association for Computational LinguisticsBingxin Xu, Yuzhang Shang, Binghui Wang, et al.2026
55. Stable Language Guidance for Vision–Language–Action ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhihao Zhan, Yuhao Chen, Jiaying Zhou, et al.2026
56. Test-Time Scaling in Multimodal Foundation Models: A Comprehensive Survey of Generation and ReasoningFindings of the Association for Computational LinguisticsCong Wan, Ying He, Zhongzhan Huang, et al.2026

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