Elamur Research⌕
☰
home / papers / ChessGPT: Bridging Policy Learning and Language… / cited by

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»

  1. Agent Laboratory: Using LLM Agents as Research AssistantsarXiv:2501.04227Samuel Schmidgall, Yusheng Su, Ze Wang, et al.2025 · 139 citations
  2. Large Language Model Agent: A Survey on Methodology, Applications and ChallengesarXiv:2503.21460Junyu Luo, Weizhi Zhang, Ye Yuan, et al.2025 · 62 citations
  3. Puzzle Solving using Reasoning of Large Language Models: A SurveyConference on Empirical Methods in Natural Language Processing (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 ModelsarXiv:2404.01230Yadong Zhang, Shaoguang Mao, Tao Ge, et al.2024 · 44 citations
  5. Mastering Board Games by External and Internal Planning with Language ModelsarXiv:2412.12119John Schultz, Jakub Adamek, Matej Jusup, et al.2024 · 14 citations

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

This page in Markdown → https://md.research.elamur.ai/free/en/papers/feng-2023-chessgpt-bridging-policy-learning-language/cited-by/