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

Reasoning distillation from powerful teacher models to smaller students faces the Gap Curse: as teachers grow more sophisticated, their complex distributions increasingly diverge from what students can approximate, causing performance degradation. Existing mitigation strategies either filter out challenging examples th...

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