🔗 Who cites «Large Language Models as Commonsense Knowledge for Large-Scale Task Planning»

79 papers of our library cite it (of the 149,439 whose bibliographies we read) · 15 with a page here, the most cited first · ← back to «Large Language Models as Commonsense Knowledge for Large-Scale Task Planning»

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. Understanding the planning of LLM agents: A surveyarXiv:2402.02716Xu Huang, Weiwen Liu, Xiaolong Chen, et al.2024 · 128 citations
3. ChatGPT Is a Knowledgeable but Inexperienced Solver: An Investigation of Commonsense Problem in Large Language ModelsLanguage Resources and Evaluation Conference (LREC)Ning Bian, Xianpei Han, Le Sun, et al.2024 · 106 citations
4. Retrieval-Augmented Generation with Graphs (GraphRAG)arXiv:2501.00309Haoyu Han, Yu Wang, Harry Shomer, et al.2025 · 87 citations
5. Scaling Large Language Model-based Multi-Agent CollaborationarXiv:2406.07155Chen Qian, Zihao Xie, YiFei Wang, et al.2024 · 70 citations
6. 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
7. Don't throw away your value model! Generating more preferable text with Value-Guided Monte-Carlo Tree Search decodingarXiv:2309.15028Jiacheng Liu, Andrew Cohen, Ramakanth Pasunuru, et al.2023 · 46 citations
8. PlaSma: Making Small Language Models Better Procedural Knowledge Models for (Counterfactual) PlanningarXiv:2305.19472Faeze Brahman, Chandra Bhagavatula, Valentina Pyatkin, et al.2023 · 25 citations
9. Linguistic Generalizability of Test-Time Scaling in Mathematical ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Guijin Son, Jiwoo Hong, Hyunwoo Ko, et al.2025 · 24 citations
10. 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
11. Language Models are Bounded Pragmatic Speakers: Understanding RLHF from a Bayesian Cognitive Modeling PerspectivearXiv:2305.17760Khanh Nguyen2023 · 1 citation
12. Common Sense vs. Morality: The Curious Case of Narrative Focus Bias in LLMsLanguage Resources and Evaluation Conference (LREC)Saugata Purkayastha, Pranav Kushare, Pragya Paramita Pal, et al.2026
13. OntoGuard: Enforcing Action Admissibility for LLM Agents in Complex Interactive EnvironmentsFindings of the Association for Computational LinguisticsPengxiang Liu, Tao Ren, Wei Xiong, et al.2026
14. PARL: Prompt-based Agents for Reinforcement LearningLanguage Resources and Evaluation Conference (LREC)Yarik Menchaca Resendiz, Roman Klinger2026
15. Seeing Isn't Believing: Mitigating Belief Inertia via Active Intervention in Embodied AgentsFindings of the Association for Computational LinguisticsHanlin Wang, Chak Tou Leong, Jian Wang, et al.2026

64 more papers of our library cite it; they have no page here yet.

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