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arXiv cs.AI·

When Models Disagree: Rethinking LLM Evaluation for Public Comment Analysis

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In three linesResearchers propose a disagreement-based audit pipeline to evaluate LLMs deployed by federal agencies for categorizing public comments. Analyzing 1,260 USDA comments across four LLMs, inter-model thematic divergence exceeds within-model prompt variation, and human annotators introduce interpretive framings absent from the ensemble's collective output.
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