Madhav Vadlamani

QUBO-Optimized Evidence Selection for Retrieval-Augmented Question Answering with Unconventional Solvers

The QUBO selector achieves competitive exact-match and token-F1 performance relative to LLM-based selectors while providing a solver-compatible formulation for structured evidence selection, suggesting that multi-hop evidence selection can be cast as discrete optimization, opening a path toward RAG pipelines where LLMs are reserved for semantic processing and answer generation, while context selection is handled by Ising/QUBO-compatible solvers.