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cs.IR2026
Learning Query Encoders Can Be Hard Even When Vector Retrieval Is Geometrically Easy
Anders Wikum, Nina Mishra, Amin Saberi +1
Efficient vector retrieval requires both a corpus geometry that supports retrieving the right documents through vector similarity, and a query encoder that can embed queries near t…
cs.IR2026
MACS: A Hybrid Multi-Agent Framework for Reliable Conversational E-Commerce Recommendation
Juli Huang, Hannah Clay, Sajjad Beygi +3
Conversational recommendation for e-commerce is increasingly mediated by large language models (LLMs), yet many real-world deployments operate under a stricter requirement: recomme…