An original implementation of “MetaICL Learning to Learn In Context”
This includes an original implementation of “MetaICL: Learning to Learn In Context” by Sewon Min, Mike Lewis, Luke Zettlemoyer and Hannaneh Hajishirzi.
✨ Check out our demo at qa.cs.washington.edu:2021! ✨
This README is mainly for how to reproduce MetaICL and Channel MetaICL in the paper, but also describe how to reproduce our baselines, including Multi-task zero-shot and various raw LM methods.
All methods used in the paper are available in this repo (please see the below table).
For any questions about the paper or the code, please contact the first author