Papers by Murat Kantarcioglu

1 papers
Do You Know What You Are Talking About? Characterizing Query-Knowledge Relevance For Reliable Retrieval Augmented Generation (2024.emnlp-main)

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Challenge: Language models suffer from poor interpretability and transparency, as well as the intrinsic risk of hallucination and misinformation.
Approach: They propose a statistical framework that assesses how well a query can be answered by an RAG system by capturing the relevance of knowledge.
Outcome: The proposed framework assesses how well a query can be answered by an RAG system by capturing the relevance of knowledge.

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