---
title: "Who cites Learning and Leveraging Verifiers — 7 citing papers"
description: "7 papers of the Elamur Research library cite «Learning and Leveraging Verifiers to Improve Planning Capabilities of Pre-trained Language…"
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---
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# 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»](https://md.research.elamur.ai/free/en/papers/arora-2023-learning-leveraging-verifiers-improve-planning/)

1. [**LLM+P: Empowering Large Language Models with Optimal Planning Proficiency arXiv:2304.11477**Bo Liu, Yuqian Jiang, Xiaohan Zhang, et al.*2023 · 216 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-llm-p-empowering-large-language/)
2. **[Have LLMs Advanced Enough? A Challenging Problem Solving Benchmark For Large Language Models](https://md.research.elamur.ai/free/en/papers/arora-2023-have-llms-advanced-enough-challenging/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Daman Arora, Himanshu Singh, Mausam*2023 · 107 citations*
3. [**LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks arXiv:2402.01817 · Proceedings of the 41 st International Conference on Machine Learning, Vienna, Austria. PMLR 235, 2024**Subbarao Kambhampati, Karthik Valmeekam, Lin Guan, et al.*2024 · 88 citations*](https://md.research.elamur.ai/free/en/papers/kambhampati-2024-llms-t-plan-but-help/)
4. **[When is Tree Search Useful for LLM Planning? It Depends on the Discriminator](https://md.research.elamur.ai/free/en/papers/chen-2024-when-is-tree-search-useful/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/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.

- [← back to](https://md.research.elamur.ai/free/en/papers/arora-2023-learning-leveraging-verifiers-improve-planning/) — Learning and Leveraging Verifiers to Improve Planning Capabilities of Pre-trained Language Models