🧑‍🔬 Who cites Lin Guan

140 citations of their works from 128 papers of our library (of the 149,439 whose bibliographies we read) · 32 with a page here, the most cited first · ← Lin Guan

1. Gemini 1.5: Unlocking multimodal understanding across millions of tokens of contextarXiv:2403.05530Gemini Team, Petko Georgiev, Ving Ian Lei, et al.2024 · 1,589 citations
2. PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about ChangeConference on Neural Information Processing Systems (NeurIPS)Karthik Valmeekam, Matthew Marquez, Alberto Olmo, et al.2022 · 222 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. 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
5. Understanding the planning of LLM agents: A surveyarXiv:2402.02716Xu Huang, Weiwen Liu, Xiaolong Chen, et al.2024 · 128 citations
6. Best Practices and Lessons Learned on Synthetic DataarXiv:2404.07503Ruibo Liu, Jerry Wei, Fangyu Liu, et al.2024 · 119 citations
7. Multi-Step Reasoning with Large Language Models, a SurveyACM Computing SurveysAske Plaat, Annie Wong, Suzan Verberne, et al.2024 · 106 citations
8. 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
9. TheAgentCompany: Benchmarking LLM Agents on Consequential Real World TasksConference on Neural Information Processing Systems (NeurIPS)Frank F. Xu, Yufan Song, Boxuan Li, et al.2024 · 68 citations
10. 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
11. AI Agents That MatterarXiv:2407.01502Sayash Kapoor, Benedikt Stroebl, Zachary S. Siegel, et al.2024 · 55 citations
12. Q*: Improving Multi-step Reasoning for LLMs with Deliberative PlanningarXiv:2406.14283Chaojie Wang, Yanchen Deng, Zhiyi Lyu, et al.2024 · 53 citations
13. Towards LogiGLUE: A Brief Survey and A Benchmark for Analyzing Logical Reasoning Capabilities of Language ModelsarXiv:2310.00836Man Luo, Shrinidhi Kumbhar, Ming shen, et al.2023 · 27 citations
14. PlaSma: Making Small Language Models Better Procedural Knowledge Models for (Counterfactual) PlanningarXiv:2305.19472Faeze Brahman, Chandra Bhagavatula, Valentina Pyatkin, et al.2023 · 25 citations
15. SemEval-2026 Task 11: Disentangling Content and Formal Reasoning in Large Language ModelsInternational Workshop on Semantic Evaluation (SemEval)Marco Valentino, Leonardo Ranaldi, Giulia Pucci, et al.2026 · 22 citations
16. AI4Research: A Survey of Artificial Intelligence for Scientific ResearchScience China Information SciencesQiguang Chen, Mingda Yang, Libo Qin, et al.2025 · 21 citations
17. 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
18. PlanGEN: A Multi-Agent Framework for Generating Planning and Reasoning Trajectories for Complex Problem SolvingConference on Empirical Methods in Natural Language Processing (EMNLP)Mihir Parmar, Xin Liu, Palash Goyal, et al.2025 · 16 citations
19. Data-driven Discovery with Large Generative ModelsarXiv:2402.13610Bodhisattwa Prasad Majumder, Harshit Surana, Dhruv Agarwal, et al.2024 · 15 citations
20. 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
21. Problem Solving Through Human–AI Preference-based CooperationComputational LinguisticsSubhabrata Dutta, Timo Kaufmann, Goran Glavaš, et al.2025 · 9 citations
22. SEED: Accelerating Reasoning Tree Construction via Scheduled Speculative DecodingInternational Conference on Computational Linguistics (COLING)Zhenglin Wang, Jialong Wu, Yilong Lai, et al.2025 · 8 citations
23. Analysing Chain of Thought Dynamics: Active Guidance or Unfaithful Post-hoc Rationalisation?Conference on Empirical Methods in Natural Language Processing (EMNLP)Samuel Lewis-Lim, Xingwei Tan, Zhixue Zhao, et al.2025 · 5 citations
24. AOT*: Efficient Synthesis Planning via LLM-Empowered AND-OR Tree SearchFindings of the Association for Computational LinguisticsXiaozhuang Song, Xuanhao Pan, Xinjian Zhao, et al.2026 · 2 citations
25. Process Reward Models Meet Planning: Generating Precise and Scalable Datasets for Step-Level RewardsAnnual Meeting of the Association for Computational Linguistics (ACL)Raffaele Pisano, Roberto Navigli2026 · 1 citation
26. Integrating Neural and Symbolic Components in a Model of Pragmatic Question-AnsweringPolina Tsvilodub, Robert D. Hawkins, Michael Franke2025 · 1 citation
27. Beyond Length Scaling: Synergizing Breadth and Depth for Generative Reward ModelsFindings of the Association for Computational LinguisticsQiyuan Zhang, Yufei Wang, Tianhe Wu, et al.2026
28. CARL: Constraint-Aware Reinforcement Learning for Planning with LLMsFindings of the Association for Computational LinguisticsQiuyi Qi, Jinjian Zhang, Mutian Bao, et al.2026
29. Computational models of pragmatic reasoning with flexible generation of meaning and expression alternativesarXiv:2607.18443Polina Tsvilodub, Fausto Carcassi, Michael Franke2026
30. GaLa: Hypergraph-Guided Visual Language Models for Procedural PlanningFindings of the Association for Computational LinguisticsKun Wang, Li Yiming, Mingcheng Qu, et al.2026
31. Knowledge Vector of Logical Reasoning in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zixuan Wang, Yuanyuan Lei2026
32. To Skip, to Swap or to Not Swap? Identifying Step Transition Types in Instructional ManualsLanguage Resources and Evaluation Conference (LREC)Hsiu-Yu Yang, Michael Roth, Andreas Bulling, et al.2026

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