Glance reranks passages from the generator's shared prefill
A resident 9B backbone adds about 0.1 GiB per skill and beats bge-reranker-v2-m3 on SciFact and NFCorpus after 39 minutes of fine-tuning.
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Relateddocid1generative-retrieval1generator1information-retrieval1product-quantization1rag1reranking1residual-quantization1retrieval1
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Stories tagged #ms-marco
A Systematic Study of Semantic ID Spaces for Generative Information Retrieval
Study unifies product and residual quantization for semantic DocIDs and tests them on MS MARCO and NQ.