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Preprint Aug 2026

Auditing Semantic Gains in Sequential Recommendation: A Lightweight Recovery Test

The results suggest that lightweight recovery from offline item representations and transparent fusion should be ruled out before improvements are attributed to serving-time language modeling, semantic-ID generation, or heavier semantic machinery.

Kong Wang, Zhongke He, Xiang Chen et al. · 0 citations
#artificial intelligence Preprint Aug 2026

From Uncertainty to Clinical Risk: Severity-Aware Conformal Planning for Interactive Medical Diagnosis

S Severity-Aware Conformal Clinical Planning formulates interactive diagnosis as a risk-sensitive sequential decision problem and achieves more accurate diagnoses with fewer questions across multiple large language models, while improving differential-diagnosis quality and reducing high-risk errors in severe cases.

Yue Zhou, Haisu Zhou, Jin Zhang et al. · 0 citations

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