Alex Ratner

Snorkel MeTaL

2018

Many real-world machine learning problems are challenging to tackle for two reasons: (i) they involve multiple sub-tasks at different levels of granularity; and (ii) they require large volumes of labeled training data. We propose Snorkel …

Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes

2023

Cheng-Yu Hsieh, Chun-Liang Li, Chih-kuan Yeh, Hootan Nakhost, Yasuhisa Fujii, Alex Ratner, Ranjay Krishna, Chen-Yu Lee, Tomas Pfister. Findings of the Association for Computational Linguistics: ACL 2023. 2023.