most citedMetaEmbed: Scaling Multimodal Retrieval at Test-Time with Flexible Late Interaction

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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.IR2026★ 1 cited

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…