In-Context Retrieval-Augmented Language Models
Retrieval-Augmented Language Modeling (RALM) methods, which condition a language model (LM) on relevant documents from a grounding corpus during generation, were shown to significantly improve language modeling performance. In addition, they can mitigate the problem of factually inaccurate text gene...
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Published in | Transactions of the Association for Computational Linguistics Vol. 11; pp. 1316 - 1331 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
Cambridge
MIT Press Journals, The
13.11.2023
The MIT Press |
Subjects | |
Online Access | Get full text |
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