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More Choices, Fewer Decisions: Ordinal-Scale Bias in JEV-like Direct-Decision Models

Gao, Tianxiang et al.
arXiv (All) · Papers
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artificial-intelligence
Direct-decision models turn text into low-latency structured labels and scores, making them attractive for classification and automatic evaluation. Yet reliability requires more than accuracy: a model must also use the ordinal decision scale supplied by the user faithfully. We analyze JEV~1.13 and t
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