Retrieval-Augmented Knowledge Editing for Multi-Hop Question Answering in Language Models

Large Language Models (LLMs) have shown proficiency in question-answering tasks but often struggle to integrate real-time knowledge updates, leading to potentially outdated or inaccurate responses.

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Qiaoyu Tan, Xuansheng Wu, New York University, University of Georgia (2024). Dataset: Retrieval-Augmented Knowledge Editing for Multi-Hop Question Answering in Language Models. https://doi.org/10.57702/wcq0zlyr

DOI retrieved: December 2, 2024

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Created December 2, 2024
Last update December 2, 2024
Author Qiaoyu Tan
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Xuansheng Wu
New York University
University of Georgia
Homepage https://doi.org/XXXXXXX.XXXXXXX