2 papers
cs.LG2025
DataComp-LM: In search of the next generation of training sets for language models
Jeffrey Li, Alex Fang, Georgios Smyrnis +56
We introduce DataComp for Language Models (DCLM), a testbed for controlled dataset experiments with the goal of improving language models. As part of DCLM, we provide a standardize…
cs.LG2024
Post-Hoc Reversal: Are We Selecting Models Prematurely?
Rishabh Ranjan, Saurabh Garg, Mrigank Raman +2
Trained models are often composed with post-hoc transforms such as temperature scaling (TS), ensembling and stochastic weight averaging (SWA) to improve performance, robustness, un…