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Yun-Yao Zhang

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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
Jul 2026

Semiotic logical hexagon theory for LLM logical reasoning

HexLogicAgent is proposed, a framework that first organizes the meaning of natural-language statements and then guides logical reasoning through structured verification, supported by a logical hexagon theory, which explains why a complete structure of opposing meanings is necessary for reliable reasoning.

Yun-Yao Zhang, Xing-Lang Zhang, Ze-Liang Chen et al. · 1 citation
#artificial intelligence Preprint Aug 2026

Surfacing the Unsaid: CUE-Bench for Affective Stance in Chinese Discourse

Emotion understanding in discourse requires reasoning beyond surface sentiment because speakers often convey affect through indirect, implicit, polite, ironic, or deliberately mismatched expressions. Existing emotion benchmarks mainly annotate surface polarity or final emotion categories, while lacking a structured acc...

Zhen-Yan Zheng, Yun-Yao Zhang, Jun Sheng et al. · 0 citations

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