Assistant Professor, Carnegie Mellon University
4 papers at NeurIPS 2025
We provide a principled approach for incorporating fully synthetic samples in downstream statistical inference.
We present a data-centric pretraining framework that builds safety into the model from the start
Open-source framework for LLM unlearning supporting multiple benchmarks and methods.