PaperWritingBench 🎻

PaperWritingBench is the first benchmark designed to evaluate how well autonomous AI research paper writing systems can synthesize raw research materials into submission-ready papers.

[Paper] [Project Page] [Code]

Dataset Structure

This repository contains:

• datasets.zip: The full dataset containing cvpr2025 and iclr2025 folders with raw materials.
• metadata.json: A JSON file listing metadata for all 200 papers, including venue, paper ID, number of figures, number of tables, and the relative path to the paper directory inside the extracted zip.

To use the full dataset, please download datasets.zip and extract it.

Metadata

The metadata.json file contains an array of objects with the following structure:

{
    "venue": "cvpr2025",
    "id": "cvpr2025_...",
    "num_figures": 4,
    "num_tables": 8,
    "paper_dir": "cvpr2025/papers/cvpr2025_..."
}

Citation

@article{song2026paperorchestra,
  title={PaperOrchestra: A Multi-Agent Framework for Automated AI Research Paper Writing},
  author={Song, Yiwen and Song, Yale and Pfister, Tomas and Yoon, Jinsung},
  journal={arXiv preprint arXiv:2604.05018},
  year={2026}
}