Powell Hall 101, 102
USC, Los Angeles, CA
DILL is a lab dedicated to the study of Data, Interpretability, Language and Learning, led by Swabha Swayamdipta. DILL is currently focused on automatically estimating the difficulty of datasets for models, and semi-automatically building datasets that help models learn better. We also emphasize on measuring how interpretable model decisions are to human users.
|Aug 15, 2022||First day at USC for the entire DILL Lab!|
|May 15, 2022||CSCI-699 Data-Centric NLP|
|Apr 15, 2022||We now have four new lab members!|