Research awarded 1st Place in the ACM Student Research Competition at 2024 IEEE/ACM Supercomputing conference.

This last summer, I had the privilege of closely working with Jordan Pettyjohn, an undergraduate student from the Colorado School of Mines. This was part of the BigDataX REU program. His summer research project focused on using an intepretability framework to identify and address toxicity and bias in transformer-based language models. This research was awarded the 1st place prize in the ACM Student Research Competition (SRC)

This work was also featured at the 2024 BlackBoxNLP Workshop hosted at this year’s EMNLP conference.

Relevant Links:

• The poster for this work, presented at both the Supercomputing conference and the BlackBoxNLP workshop, can be found here.
• A white paper for this work more information the project can be found here.