Associate Professor, Georgia Institute of Technology
4 papers at NeurIPS 2025
We propose an uncertainty-based routing framework that efficiently complements a fast RM with a strong but costly LLM judge.
A new minimalist example to understand the Edge of Stability and Progressive Sharpening phenomenon
We propose Think-RM, a training framework for generative reward models that enables long-horizon reasoning, and introduce a pairwise RLHF pipeline that directly optimizes policies using pairwise preference rewards.
