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cs.IR2026
Superintelligent Retrieval Agent: The Next Frontier of Agentic Retrieval
Zeyu Yang, Xu Han, Qi Ma +2
Retrieval-augmented agents are increasingly the interface to large knowledge bases, yet most treat retrieval as a black box: they issue exploratory queries, inspect snippets, and r…
cs.IR2025
MetaEmbed: Scaling Multimodal Retrieval at Test-Time with Flexible Late Interaction
Zilin Xiao, Qi Ma, Mengting Gu +4
Universal multimodal embedding models have achieved great success in capturing semantic relevance between queries and candidates. However, current methods either condense queries a…