AINeutralarXiv – CS AI · Apr 105/10
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Multi-Faceted Self-Consistent Preference Alignment for Query Rewriting in Conversational Search
Researchers introduce MSPA-CQR, a machine learning approach that improves conversational query rewriting by aligning preferences across three dimensions: query rewriting, passage retrieval, and response generation. The method uses self-consistent preference data and direct preference optimization to generate more diverse and effective rewritten queries in conversational search systems.