Conference paper · 2025

PaperBench: Evaluating AI's Ability to Replicate AI Research

Giulio Starace, Oliver Jaffe, Dane Sherburn, James Aung, Jun Shern Chan, Leon Maksin, Rachel Dias, Evan Mays, Benjamin Kinsella, Wyatt Thompson, Johannes Heidecke, Amelia Glaese, Tejal Patwardhan

VenueProceedings of the 42nd International Conference on Machine Learning
URLhttps://proceedings.mlr.press/v267/starace25a.html
TopicsReplicHAI / Agent & LLM run-to-run variability
ReplicHAI / Agentic reproduction: systems & benchmarks
ReplicHAI / Cited in CHI 2027 draft
Tagsreplichai
citationKeystarace2025paperbench
conferenceNameProceedings of Machine Learning Research
extraarXiv: 2504.01848
libraryCatalogbackground/agentic-systems/refs.bib, background/bib/bib-q1q2.bib, chi2027/paper/refs.bib
pages56843-56873
publisherPMLR
volume267

BibTeX

@inproceedings{starace2025paperbench,
	title = {{PaperBench}: {Evaluating} {AI}'s {Ability} to {Replicate} {AI} {Research}},
	volume = {267},
	url = {https://proceedings.mlr.press/v267/starace25a.html},
	booktitle = {Proceedings of the 42nd {International} {Conference} on {Machine} {Learning}},
	publisher = {PMLR},
	author = {Starace, Giulio and Jaffe, Oliver and Sherburn, Dane and Aung, James and Chan, Jun Shern and Maksin, Leon and Dias, Rachel and Mays, Evan and Kinsella, Benjamin and Thompson, Wyatt and Heidecke, Johannes and Glaese, Amelia and Patwardhan, Tejal},
	year = {2025},
	note = {arXiv: 2504.01848},
	keywords = {replichai},
	pages = {56843--56873},
}