Author

Wan-Xuan Chen

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Review Open access Jul 2026

Generating guideline-concordant and safe recommendations for diabetic kidney disease management via a hierarchical retrieval-augmented large language model.

This study demonstrates that anchoring LLMs with authoritative knowledge effectively mitigates hallucination risks and enhances clinical reliability, and reveals that the RAG-enhanced system significantly outperforms unaugmented models in providing accurate, guideline-compliant recommendations.

Xuan Tao, Lan Tian, Chenhao Fang et al. · npj Digital Medicine · 0 citations

Preprint Aug 2026

Rubrics as Privileged Information for Open-Ended Generation

It is shown that soft rubric PI provides a larger and more effective training signal on student roll-outs than hard reference completion PI in this regime, and contrary to intuition, soft rubric PI provides a larger and more effective training signal than hard reference completion PI in this regime.

Deepika Bablani, Ajay Gupta, Wan-Xuan Chen · 1 citation