Full Professor, School of Computer Science, Carnegie Mellon University
2 papers at NeurIPS 2025
This paper is to jointly optimize mutiple modules in complex RAG pipeline using multi-agent reinforcement learning.
AirRep is a text representation model optimized for TDA, offering performance comparable to gradient-based methods while being significantly more efficient.