Author

Zihan Chen

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Preprint Aug 2026

UniMod: Enhancing Multi-Modal Medical Diagnosis through Cross-Modality and Within-Modality Alignment

Multi-modal learning combining medical images and clinical text is promising for disease diagnosis. However, standard multi-modal training leads to shortcut learning: models exploit the easier modality (e.g., diagnostic cues in text) while neglecting harder-to-learn features (e.g., subtle visual patterns). We propose U...

Zijian Gu, Weikai Lin, Shuang Zhou et al. · 0 citations

#natural language process... Preprint Sep 2026

TeacherGRPO: Closing the Capacity Gap in Reasoning Distillation via Teacher Alignment

Teacher Alignment is proposed, which directly adapts the teacher toward the student's distribution without discarding data or degrading reasoning quality, and which significantly outperforms baselines across diverse reasoning benchmarks and distillation methods.

Zhen-Yu Lei, Zi-Han Chen, Yao-Chen Zhu et al. · 0 citations

#machine learning May 2026

Generalist Graph Anomaly Detection via Prototype-Based Distillation

ProMoS is introduced, the first unsupervised generalist GAD framework, which detects anomalies by modeling the abundant normality in unlabeled data, and proposes prototype-guided soft-label distillation to align teacher and student in a shared prototype space, enhancing cross-graph generalizability.

Yiming Xu, Zihan Chen, Z. Peng et al. · arXiv.org · 0 citations