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cs.AI2026
A Battery for AI Propensity Measurement: Rubrics, Synthetic Item Banks, and Annotations
Peter Romero, Haotian Li, Hugo Save +8
We release a battery of 28 propensities for AI research, with expert-written rubrics, synthetic datasets, and annotated demand intervals, built with the method of Romero-Alvarado e…
cs.AI2026
Shortcut Learning in Legal Judgment Prediction: Empirical Evidence from the UK Employment Tribunal
Joe Watson, Joana Ribeiro de Faria, Marcus Tomalin +6
Current Legal Judgment Prediction (LJP) is constrained by its reliance on post-hoc judicial materials, increasing the likelihood that models perform retrospective classification ra…