🧑‍🔬 Who cites Leslie Pack Kaelbling

185 citations of their works from 184 papers of our library (of the 149,439 whose bibliographies we read) · 40 with a page here, the most cited first · ← Leslie Pack Kaelbling

1. 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
2. Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement LearningarXiv:2503.09516Bowen Jin, Hansi Zeng, Zhenrui Yue, et al.2025 · 322 citations
3. LLM+P: Empowering Large Language Models with Optimal Planning ProficiencyarXiv:2304.11477Bo Liu, Yuqian Jiang, Xiaohan Zhang, et al.2023 · 216 citations
4. AI Alignment: A Comprehensive SurveyarXiv:2310.19852Jiaming Ji, Tianyi Qiu, Boyuan Chen, et al.2023 · 173 citations
5. Rethinking Action Spaces for Reinforcement Learning in End-to-end Dialog Agents with Latent Variable ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Tiancheng Zhao, Kaige Xie, Maxine Eskenazi2019 · 169 citations
6. Self Forcing: Bridging the Train-Test Gap in Autoregressive Video DiffusionConference on Neural Information Processing Systems (NeurIPS)Xun Huang, Zhengqi Li, Guande He, et al.2025 · 146 citations
7. Efficient Processing of Deep Neural Networks: A Tutorial and SurveyProceedings of the IEEE 2017Vivienne Sze, Yu-Hsin Chen, Tien-Ju Yang, et al.2017 · 146 citations
8. Eureka: Human-Level Reward Design via Coding Large Language ModelsarXiv:2310.12931Yecheng Jason Ma, William Liang, Guanzhi Wang, et al.2023 · 142 citations
9. A Real-World WebAgent with Planning, Long Context Understanding, and Program SynthesisarXiv:2307.12856Izzeddin Gur, Hiroki Furuta, Austin Huang, et al.2023 · 120 citations
10. Multi-Step Reasoning with Large Language Models, a SurveyACM Computing SurveysAske Plaat, Annie Wong, Suzan Verberne, et al.2024 · 106 citations
11. Qwen-Image Technical ReportarXiv:2508.02324Chenfei Wu, Jiahao Li, Jingren Zhou, et al.2025 · 92 citations
12. Benchmark Data Contamination of Large Language Models: A SurveyarXiv:2406.04244Cheng Xu, Shuhao Guan, Derek Greene, et al.2024 · 85 citations
13. Seed-TTS: A Family of High-Quality Versatile Speech Generation ModelsarXiv:2406.02430Philip Anastassiou, Jiawei Chen, Jitong Chen, et al.2024 · 71 citations
14. 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
15. Diffusion Models Are Real-Time Game EnginesarXiv:2408.14837Dani Valevski, Yaniv Leviathan, Moab Arar, et al.2024 · 49 citations
16. Pragmatics in Language Grounding: Phenomena, Tasks, and Modeling ApproachesFindings of the Association for Computational LinguisticsDaniel Fried, Nicholas Tomlin, Jennifer Hu, et al.2023 · 38 citations
17. A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super IntelligencearXiv:2507.21046Huan-ang Gao, Jiayi Geng, Wenyue Hua, et al.2025 · 36 citations
18. 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
19. MiniCPM4: Ultra-Efficient LLMs on End DevicesarXiv:2506.07900MiniCPM Team, Chaojun Xiao, Yuxuan Li, et al.2025 · 22 citations
20. 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
21. Language Models, Agent Models, and World Models: The LAW for Machine Reasoning and PlanningarXiv:2312.05230Zhiting Hu, Tianmin Shu2023 · 18 citations
22. Generating Code World Models with Large Language Models Guided by Monte Carlo Tree SearcharXiv:2405.15383Nicola Dainese, Matteo Merler, Minttu Alakuijala, et al.2024 · 14 citations
23. Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive SearcharXiv:2502.02508Maohao Shen, Guangtao Zeng, Zhenting Qi, et al.2025 · 13 citations
24. EventRL: Enhancing Event Extraction with Outcome Supervision for Large Language ModelsarXiv:2402.11430Jun Gao, Huan Zhao, Wei Wang, et al.2024 · 11 citations
25. R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement LearningFindings of the Association for Computational LinguisticsQingfei Zhao, Ruobing Wang, Dingling Xu, et al.2026 · 7 citations
26. Time Series Forecasting via Reasoning: A Slow-Thinking Approach with Reinforcement Fine-Tuned LLMsarXiv:2506.10630Yitong Zhou, Yucong Luo, Mingyue Cheng, et al.2025 · 6 citations
27. ChatR1: Reinforcement Learning for Conversational Reasoning and Retrieval Augmented Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Simon Lupart, Mohammad Aliannejadi, Evangelos Kanoulas2026 · 5 citations
28. Growing Through Experience: Scaling Episodic Grounding in Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Chunhui Zhang, Sirui Wang, Zhongyu Ouyang, et al.2025 · 5 citations
29. AutoGraph-R1: End-to-End Reinforcement Learning for Knowledge Graph ConstructionAnnual Meeting of the Association for Computational Linguistics (ACL)Hong Ting Tsang, Jiaxin Bai, Haoyu Huang, et al.2026 · 4 citations
30. ProMed: Shapley Information Gain Guided Reinforcement Learning for Proactive Medical LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Hongxin Ding, Baixiang Huang, Yue Fang, et al.2026 · 4 citations
31. Temp-R1: A Unified Autonomous Agent for Complex Temporal KGQA via Reverse Curriculum Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Zhaoyan Gong, Zhiqiang Liu, Songze Li, et al.2026 · 4 citations
32. Not All Tokens Matter: Towards Efficient LLM Reasoning via Token Significance in Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Hanbing Liu, Lang Cao, Yuanyi Ren, et al.2026 · 1 citation
33. Can VLMs Predict Future States? Bootstrapping World Models from Inverse DynamicsFindings of the Association for Computational LinguisticsYifu Qiu, Yftah Ziser, Anna Korhonen, et al.2026
34. GaLa: Hypergraph-Guided Visual Language Models for Procedural PlanningFindings of the Association for Computational LinguisticsKun Wang, Li Yiming, Mingcheng Qu, et al.2026
35. GSM-Noise: Exploring and Enhancing Large Language Models' Reasoning under Noisy InputsFindings of the Association for Computational LinguisticsZhengxin Zhang, Chengyu Huang, Xufu Liu, et al.2026
36. Learning to Control Summaries with Score RankingFindings of the Association for Computational LinguisticsHongye Liu, Liang Ding, Ricardo Henao2026
37. Mitigating Context Interference for Reliable and Efficient Search AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Boyang Xue, Bin Wu, Shuofei Qiao, et al.2026
38. PlanE: Meta Planning of Data, Tuning, and Inference for Extractive-based LLMsFindings of the Association for Computational LinguisticsJiacheng Wang, Weiyan Zhang, Guangya Yu2026
39. Qwen-AgentWorld: Language World Models for General AgentsarXiv:2606.24597Yuxin Zuo, Zikai Xiao, Li Sheng, et al.2026
40. Methods for Constraint Solving Problems Based on Learn to Reason Model: A Review (基于学习-推理的约束求解方法研究进展)Journal of SoftwareYue Zou (邹悦), Jiayang Lai (赖家洋), Yonggang Zhang (张永刚)2023

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