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appliedml42
@appliedml42
abs: https://arxiv.org/abs/2302.00083v1 TLDR: This paper proposes an alternative approach to Retrieval-Augmented Language Modeling (RALM) called In-Context RALM, which prepends relevant documents from a grounding corpus to the input of an unchanged language model. https://i.imgur.com/JBFZWcN.png
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appliedml42 pfp
appliedml42
@appliedml42
keywords: Retrieval-Augmented Language Modeling | Language Model | LM Architecture | Document Retrieval and Ranking | LM Grounding
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