Papers by Matthew Sarte

    1 papers
    VeriFastScore: Speeding up long-form factuality evaluation (2025.findings-emnlp)

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    Challenge: VeriFastScore model can be used to evaluate long-form factuality but requires multiple LLM calls and can take up to 100s to evaluate a single response.
    Approach: They propose a model that leverages synthetic data to fine-tune Llama3.1 8B for extracting and verifying all verifiable claims within a given text based on evidence from Google Search.
    Outcome: The proposed model achieves strong correlation with the original VeriScore pipeline at both the example level and system level while achieving an overall speedup of 6.6 over Veriscore.

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