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University of Minnesota
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Showing researchers claim-evidence provenance lowers their trust in LLM-generated scholarly edits, but doesn't necessarily change their behavior.
LLM evaluation is missing the forest for the trees: automated metrics overlook critical errors that domain experts readily identify using nuanced, context-aware strategies.
