---
title: "Who cites ChessGPT: Bridging Policy — 25 citing papers"
description: "25 papers of the Elamur Research library cite «ChessGPT: Bridging Policy Learning and Language Modeling», found in their bibliographies…"
canonical: "https://research.elamur.ai/free/en/papers/feng-2023-chessgpt-bridging-policy-learning-language/cited-by/"
---
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# Who cites «ChessGPT: Bridging Policy Learning and Language Modeling»

25 papers of our library cite it (of the 149,439 whose bibliographies we read) · 8 with a page here, the most cited first · [← back to «ChessGPT: Bridging Policy Learning and Language Modeling»](https://md.research.elamur.ai/free/en/papers/feng-2023-chessgpt-bridging-policy-learning-language/)

1. [**Agent Laboratory: Using LLM Agents as Research Assistants arXiv:2501.04227**Samuel Schmidgall, Yusheng Su, Ze Wang, et al.*2025 · 139 citations*](https://md.research.elamur.ai/free/en/papers/schmidgall-2025-agent-laboratory-using-llm/)
2. [**Large Language Model Agent: A Survey on Methodology, Applications and Challenges arXiv:2503.21460**Junyu Luo, Weizhi Zhang, Ye Yuan, et al.*2025 · 62 citations*](https://md.research.elamur.ai/free/en/papers/luo-2025-large-language-model-agent-survey/)
3. **[Puzzle Solving using Reasoning of Large Language Models: A Survey](https://md.research.elamur.ai/free/en/papers/giadikiaroglou-2024-puzzle-solving-reasoning-large-language/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Panagiotis Giadikiaroglou, Maria Lymperaiou, Giorgos Filandrianos, et al.*2024 · 48 citations*
4. [**LLM as a Mastermind: A Survey of Strategic Reasoning with Large Language Models arXiv:2404.01230**Yadong Zhang, Shaoguang Mao, Tao Ge, et al.*2024 · 44 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2024-llm-mastermind-survey-strategic-reasoning/)
5. [**Mastering Board Games by External and Internal Planning with Language Models arXiv:2412.12119**John Schultz, Jakub Adamek, Matej Jusup, et al.*2024 · 14 citations*](https://md.research.elamur.ai/free/en/papers/schultz-2024-mastering-board-games-external-internal/)
6. **[Transcendence: Generative Models Can Outperform The Experts That Train Them](https://md.research.elamur.ai/free/en/papers/zhang-2024-transcendence-generative-models-outperform-experts/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Edwin Zhang, Vincent Zhu, Naomi Saphra, et al.*2024 · 12 citations*
7. **[FineReason: Evaluating and Improving LLMs' Deliberate Reasoning through Reflective Puzzle Solving](https://md.research.elamur.ai/free/en/papers/chen-2025-finereason-evaluating-improving-llms-deliberate/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Guizhen Chen, Weiwen Xu, Hao Zhang, et al.*2025 · 6 citations*
8. **[Foresight Optimization for Strategic Reasoning in Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2026-foresight-optimization-strategic-reasoning-large/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jessie Wang, Jiawen Duan, Jian Wang, et al.*2026 · 2 citations*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/feng-2023-chessgpt-bridging-policy-learning-language/) — ChessGPT: Bridging Policy Learning and Language Modeling