Benchmarking Foundation Models with Retrieval-Augmented Generation in Olympic-Level Physics Problem Solving

📄 Accepted to Findings of EMNLP 2025

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📂 Repository

This repository will host the PhoPile dataset and benchmarking code for evaluating foundation models with retrieval-augmented generation (RAG) in Olympiad-level physics problem solving.

🚀 Data and code will be released soon.

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📄 Citation

If you use this work, please cite:

@inproceedings{zheng2025phopile,
  title     = "Benchmarking Foundation Models with Retrieval-Augmented Generation in Olympic-Level Physics Problem Solving",
  author    = "Zheng, Shunfeng and Zhang, Yudi and Fang, Meng and Zhang, Zihan and Wu, Zhitan and Pechenizkiy, Mykola and Chen, Ling",
  booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2025",
  year      = "2025",
}