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cs.LG2026
Attributing Cohen's d: Training Data Attribution for Disease-Related Effects in Normative Age Biomarkers
Jakob Snel, Marc-Andre Schulz
Normative age models are trained to predict chronological age in a nominally healthy cohort. Applied to patients, they deviate, and the gap between predicted and chronological age…
cs.LG2025
First Hallucination Tokens Are Different from Conditional Ones
Jakob Snel, Seong Joon Oh
Large Language Models (LLMs) hallucinate, and detecting these cases is key to ensuring trust. While many approaches address hallucination detection at the response or span level, r…