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 / Agentic reproduction: systems & benchmarks |
| Tags | replichai |
| citationKey | hu2025reprobench |
| libraryCatalog | background/agentic-systems/refs.bib |
| pages | 23616-23626 |
| place | Vienna, Austria |
| publisher | Association for Computational Linguistics |
BibTeX
@inproceedings{hu2025reprobench,
address = {Vienna, Austria},
title = {{REPRO}-{Bench}: {Can} {Agentic} {AI} {Systems} {Assess} the {Reproducibility} of {Social} {Science} {Research}?},
url = {https://aclanthology.org/2025.findings-acl.1210/},
doi = {10.18653/v1/2025.findings-acl.1210},
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},
keywords = {replichai},
pages = {23616--23626},
}