Improving Ad-hoc Search Effectiveness for Conversational Information Retrieval via Model Merging
This paper introduces model merging as a training-free strategy enabling the design of a single retrieval model that operates across both ad-hoc and conversational settings with no additional fine-tuning, demonstrating that model merging significantly enhances the ad-hoc search capabilities of conversational retrievers...