FS-RAG: A Frame Semantics Based Approach for Improved Factual Accuracy in Large Language Models

We present a novel extension to Retrieval Augmented Generation with the goal of mitigating factual inaccuracies in the output of large language models. Specifically, our method draws on the cognitive linguistic theory of frame semantics for the indexing and retrieval of factual information relevant...

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Bibliographische Detailangaben

1. Verfasser:	Madabushi, Harish Tayyar
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computation and Language
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