Hugging Face unveils Paper Reproductions with ML Intern

Paper Reproductions with ML Intern lets users task agents with independently reproducing experiments from published papers, according to a post shared by Hugging Face. The post says the work could create signals, such as open artifacts, that help identify high-quality research. Its author argues that agent-driven discovery, low-quality publications and incentives to keep findings proprietary are weakening the case for sharing scientific knowledge. Hugging Face invites users to try the tool on Paper Pages.