LARGE LANGUAGE MODEL ADAPTATION FOR GROUNDING

    公开(公告)号:US20250156456A1

    公开(公告)日:2025-05-15

    申请号:US18947752

    申请日:2024-11-14

    Applicant: Google LLC

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for grounding LLMs. In one aspect, a method includes accessing responses from a large language model, each response comprising data including: a query, an answer to the query, the answer comprising one or more statements, citations linking each statement to an evidence passage in a corpus; determining a grounding quality of the answer based on the evidence passages and the statements using an attribution evaluation model, wherein the grounding quality is a quantification of attribution of the statements in the answer to a document corpus; and tuning the large language model to obtain an adapted large language model that satisfies a grounding constraint based on grounding quality score.

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