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UNREAL: Unifying Retrieval and Long-Context with a Single Model

Kinderman, Edan et al.
arXiv (All) · Papers
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computation-and-languageinformation-retrievalmachine-learning
Long-context inference and Retrieval-Augmented Generation (RAG) handle evidence selection at vastly different scales, from a single long prompt to an entire corpus. We ask whether a single model-internal mechanism can select evidence across this range. We introduce UNifying REtrieval And Long-Contex
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