Journal article · 2024
CORE-Bench: Fostering the Credibility of Published Research Through a Computational Reproducibility Agent Benchmark
| Venue | Transactions on Machine Learning Research |
|---|---|
| URL | https://openreview.net/forum?id=BsMMc4MEGS |
| Topics | ReplicHAI / Agentic reproduction: systems & benchmarks |
| Tags | replichai |
| citationKey | siegel2024corebench |
| extra | Note: DBLP records vol. 2024/2024; Princeton's record says TMLR “Volume 2025-January”, pp. 1–31, 2025 — pick one and say which |
| libraryCatalog | background/agentic-systems/refs.bib |
| volume | 2024 |
BibTeX
@article{siegel2024corebench,
title = {{CORE}-{Bench}: {Fostering} the {Credibility} of {Published} {Research} {Through} a {Computational} {Reproducibility} {Agent} {Benchmark}},
volume = {2024},
url = {https://openreview.net/forum?id=BsMMc4MEGS},
journal = {Transactions on Machine Learning Research},
author = {Siegel, Zachary S. and Kapoor, Sayash and Nadgir, Nitya and Stroebl, Benedikt and Narayanan, Arvind},
year = {2024},
note = {Note: DBLP records vol. 2024/2024; Princeton's record says TMLR “Volume 2025-January”, pp. 1–31, 2025 — pick one and say which},
keywords = {replichai},
}