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papersTODAY 04:00 UTC

arXiv paper explores mixture-of-experts LLMs as efficient retrievers

A new arXiv preprint examines whether decoder-only language models built with mixture-of-experts layers can serve as effective first-stage retrievers. The authors note that retrieval quality typically rises with backbone size, but dense models force every query and document through all parameters. The work targets strong retrieval performance while limiting the computational cost per query.

arXiv dense-retrieval efficient-inference first-stage-retrieval information retrieval mixture-of-experts

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arXiv cs.CLMixture-of-Experts Language Models Can Be Strong and Efficient Retrievers ↗TODAY 04:00 UTC