|
--- |
|
license: apache-2.0 |
|
tags: |
|
- Automated Peer Reviewing |
|
- SFT |
|
- Dataset |
|
--- |
|
|
|
## Automated Peer Reviewing in Paper SEA: Standardization, Evaluation, and Analysis |
|
|
|
Paper Link: https://arxiv.org/abs/2407.12857 |
|
|
|
Project Page: https://ecnu-sea.github.io/ |
|
|
|
|
|
## Dataset Details |
|
|
|
Each dataset contains four types of files as follows: |
|
|
|
- **paper_raw_pdf:** Original paper in PDF format. |
|
- **paper_nougat_mmd:** The mmd files after parsed by [Nougat](https://github.com/facebookresearch/nougat). |
|
- **review_raw_txt:** Crawled raw review text. |
|
- **review_json:** The processed review JSON file, including “Decision”, “Meta Review”, and for each review, “Summary”, “Strengths”, “Weaknesses”, “Questions”, “Soundness”, “Presentation”, “Contribution”, “Confidence”, and “Rating”. |
|
|
|
|
|
## Dataset Sources |
|
|
|
We crawl the latest papers and their corresponding reviews from [OpenReview](https://openreview.net), including NeurIPS-2023 and ICLR-2024. |
|
|
|
|
|
|
|
## Citation |
|
|
|
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> |
|
|
|
If you find our paper or models helpful, please consider cite as follows: |
|
|
|
```bibtex |
|
@inproceedings{yu2024automated, |
|
title={Automated Peer Reviewing in Paper SEA: Standardization, Evaluation, and Analysis}, |
|
author={Yu, Jianxiang and Ding, Zichen and Tan, Jiaqi and Luo, Kangyang and Weng, Zhenmin and Gong, Chenghua and Zeng, Long and Cui, RenJing and Han, Chengcheng and Sun, Qiushi and others}, |
|
booktitle={Findings of the Association for Computational Linguistics: EMNLP 2024}, |
|
pages={10164--10184}, |
|
year={2024} |
|
} |
|
``` |
