Conference paper · 2025

REPRO-Bench: Can Agentic AI Systems Assess the Reproducibility of Social Science Research?

Chuxuan Hu, Liyun Zhang, Yeji Lim, Aum Wadhwani, Austin Peters, Daniel Kang

VenueFindings of the Association for Computational Linguistics: ACL 2025
DOI10.18653/v1/2025.findings-acl.1210
URLhttps://aclanthology.org/2025.findings-acl.1210
TopicsReplicHAI / Agent Evals / 01 Research replication & science
languageen
libraryCatalogDOI.org (Crossref)
pages23616-23626
placeVienna, Austria
publisherAssociation for Computational Linguistics
shortTitleREPRO-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},
}