Full Professor, University of Illinois at Urbana-Champaign (UIUC)
4 papers at NeurIPS 2025
We propose DynamicRAG, which optimizes retrieval-augmented generation by using reinforcement learning to adaptively rerank documents based on LLM's responses as feedback, achieving state-of-the-art results across multiple datasets.
