CompCQR generates compositional queries for training-free conversational search
A new arXiv paper introduces CompCQR, a method that rewrites ambiguous, context-dependent user utterances into clearer retrieval queries for multi-turn conversational search. The approach composes queries without requiring task-specific training, aiming to bridge the gap between conversational phrasing and standard retrieval systems. The work targets information-seeking dialogue, where follow-up questions often lack the context needed for direct use as search queries.