PhD student, University of Illinois at Urbana-Champaign
3 papers at NeurIPS 2025
We identify and address an overlooked challenge in the practical application of data attribution: hyperparameter tuning is tricky due to the costly evaluation metrics.
We present MergeBench, a comprehensive evaluation suite designed to assess model merging at scale.
We propose the first framework of data attribution for online RL.