Author

Shu-Ming Liu

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Sep 2026

Selective Channel Restoration for Backdoored Vision-Language Models

Vision-language models (VLMs) exhibit strong multimodal capabilities but remain vulnerable to backdoors implanted through poisoned fine-tuning data. Existing defenses often require extensive parameter updates during fine-tuning or incur per-query overhead during inference. To address these limitations, we propose Pertu...

Shu-Ming Liu, Zhi-Fang Zhang, Su-Qin Yuan et al. · arXiv.org · 0 citations

Preprint Oct 2026

Self-Distillation for Supervised Fine-Tuning

Gold-Conditioned Distillation is proposed, a method that turns expert demonstrations into model-native supervision and improves new-task accuracy over SFT and generally reduces degradation on general benchmarks.

Wenxuan Zhu, Bang An, Shu-Ming Liu et al. · 0 citations