Papers by Alessandro Bari

1 papers
Provenance: A Light-weight Fact-checker for Retrieval Augmented LLM Generation Output (2024.emnlp-industry)

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Challenge: Existing methods for fact checking RAG outputs rely on large language models.
Approach: They propose a method that computes a factuality score that can be thresholded to yield a binary decision to check RAG outputs.
Outcome: The proposed method is low latency and low cost at run-time and no need for LLM fine-tuning.

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