5 citations · 6 across the 2 of their papers we have counts for
2 papers
cs.CL2024★ 5 cited
Lessons from the Trenches on Reproducible Evaluation of Language Models
Stella Biderman, Hailey Schoelkopf, Lintang Sutawika +27
Reliable evaluation of language models (LMs) remains an open challenge. Re- searchers and engineers face methodological issues such as the sensitivity of models to evaluation setup…
cs.LG2023★ 1 cited
Papaya: Federated Learning, but Fully Decentralized
Ram M Kripa, Andy Zou, Ryan Jia +1
Federated Learning systems use a centralized server to aggregate model updates. This is a bandwidth and resource-heavy constraint and exposes the system to privacy concerns. We ins…