CARAG: A Context-Aware Retrieval Framework for Fact Verification, Integrating Local and Global Perspectives of Explainable AI

CARAG: A Context-Aware Retrieval Framework for Fact Verification, Integrating Local and Global Perspectives of Explainable AI

This study introduces an explainable framework for Automated Fact Verification (AFV) systems, integrating a novel Context-Aware Retrieval and Explanation Generation (CARAG) methodology. CARAG enhances evidence retrieval by leveraging thematic embeddings derived from a Subset of Interest (SOI, a focu...

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Bibliographic Details
Main Authors: Manju Vallayil, Parma Nand, Wei Qi Yan, Héctor Allende-Cid, Thamilini Vamathevan
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Applied Sciences
Subjects:
explainable AI
XAI
automated fact verification
AFV
global explainability
RAG
Online Access:https://www.mdpi.com/2076-3417/15/4/1970

Internet

https://www.mdpi.com/2076-3417/15/4/1970

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