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Author

Yupeng Zhang

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Review Open access Jul 2026

A scoping review of explainable artificial intelligence for medical multimodal data.

Suggestions are provided for the field to transition from individual and post-hoc XAIs toward intrinsically explainable designs where the reasoning logic is built directly into the model architecture to ensure that AI outputs align with human-centric clinical workflows and applications.

Kai Hu, Xing-Yue Fu, Yupeng Zhang et al. · 0 citations
2025

VPO: Reasoning Preferences Optimization Based on V-Usable Information

This work proposes VPO, a negative gradient constraint method for human non-preference samples based on V -usable information, which can alleviate the squeezing effect of DPO, enhance alignment with the generation objective, and maintain the model’s ability to distinguish between preference and non-preference samples.

Zecheng Wang, Chunshan Li, Yupeng Zhang et al. · 1 citation

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