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Yuan-Meng Xiang

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#explainable ai Preprint Sep 2026

Too Good to Be Real? Diagnosing and Reducing the Gap Between AI Preference and Real User Engagement

This work proposes Ontology-Masked Reasoning Autoencoding (OMRA), a controlled intervention that masks and reconstructs over-explained spans while preserving stance, factual content, and coherence and reduces the measured gap between AI preference and real user engagement.

Xing-Lang Zhang, Yuan-Meng Xiang, Yun-Yao Zhang et al. · 0 citations

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