AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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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...