Associate Professor, Georgia Institute of Technology
2 papers at NeurIPS 2025
We introduce a new probabilistic method and task for quantifying the privacy risk of a document with personal attributes using large language models.
a self-supervised method that improves open-weight value models using state-transition dynamics, enabling reward-free, efficient search with performance comparable to search with costly large models and tree-based methods
