🔗 Who cites «Learning and Leveraging Verifiers to Improve Planning Capabilities of Pre-trained Language Models»

7 papers of our library cite it (of the 149,439 whose bibliographies we read) · 4 with a page here, the most cited first · ← back to «Learning and Leveraging Verifiers to Improve Planning Capabilities of Pre-trained Language Models»

1. LLM+P: Empowering Large Language Models with Optimal Planning ProficiencyarXiv:2304.11477Bo Liu, Yuqian Jiang, Xiaohan Zhang, et al.2023 · 216 citations
2. Have LLMs Advanced Enough? A Challenging Problem Solving Benchmark For Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Daman Arora, Himanshu Singh, Mausam2023 · 107 citations
3. 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
4. When is Tree Search Useful for LLM Planning? It Depends on the DiscriminatorAnnual Meeting of the Association for Computational Linguistics (ACL)Ziru Chen, Michael White, Ray Mooney, et al.2024 · 28 citations

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

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