RenderRank: Learning to Rerank Text with Compressed Visual Tokens
RenderRank reranks documents from compressed visual tokens, using 16.5-35.5% fewer tokens and beating sub-4B text baselines.
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RenderRank reranks documents from compressed visual tokens, using 16.5-35.5% fewer tokens and beating sub-4B text baselines.

Linkup Research released SPARSEUP, a 149M-parameter open-source sparse embedding model under Apache 2.0, scoring 56.4 nDCG@10 on BEIR-13.
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