Conference paper · 2025
REPRO-Bench: Can Agentic AI Systems Assess the Reproducibility of Social Science Research?
| Venue | Findings of the Association for Computational Linguistics: ACL 2025 |
|---|---|
| DOI | 10.18653/v1/2025.findings-acl.1210 |
| URL | https://aclanthology.org/2025.findings-acl.1210 |
| Topics | ReplicHAI / Agent Evals / 01 Research replication & science |
| language | en |
| libraryCatalog | DOI.org (Crossref) |
| pages | 23616-23626 |
| place | Vienna, Austria |
| publisher | Association for Computational Linguistics |
| shortTitle | REPRO-Bench |
BibTeX
@inproceedings{hu_repro-bench_2025,
address = {Vienna, Austria},
title = {{REPRO}-{Bench}: {Can} {Agentic} {AI} {Systems} {Assess} the {Reproducibility} of {Social} {Science} {Research}?},
shorttitle = {{REPRO}-{Bench}},
url = {https://aclanthology.org/2025.findings-acl.1210},
doi = {10.18653/v1/2025.findings-acl.1210},
language = {en},
urldate = {2026-11-06},
booktitle = {Findings of the {Association} for {Computational} {Linguistics}: {ACL} 2025},
publisher = {Association for Computational Linguistics},
author = {Hu, Chuxuan and Zhang, Liyun and Lim, Yeji and Wadhwani, Aum and Peters, Austin and Kang, Daniel},
year = {2025},
pages = {23616--23626},
}