941 Bloom Walk
Los Angeles, CA 90089
DILL is a lab dedicated to the study of Data, Interpretability, Language and Learning, led by Swabha Swayamdipta. DILL is focused on automatically estimating the difficulty of datasets for models, efficient pretraining, and semi-automatically building datasets that help models learn better. We also emphasize on measuring how interpretable model decisions are to human users.
|Nov 22, 2022||DILL celebrated Thanksgiving together with a couple of guests (Ali Omrani and Souti Chattopadhyay) at Swabha’s.|
|Nov 18, 2022||We attended the SoCalNLP Symposium where Sayan and Jaspreet presented their latest research posters, and Swabha gave an invited talk.|
|Aug 15, 2022||First day at USC for the entire DILL Lab!|
|May 15, 2022||Swabha will be teaching CSCI-699 Data-Centric NLP this fall.|
|Apr 15, 2022||We now have four new lab members!|