Author

Zheng Lin

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#machine learning Preprint Sep 2026

CompassOPD: Cross-Family On-Policy Distillation via Within-Family Likelihood Shifts

On-policy distillation (OPD) provides dense token-level supervision on student-generated trajectories. Although OPD performs strongly when teacher and student belong to the same model family, we find that its effectiveness degrades in cross-family settings even after tokenizer alignment, with substantially stronger ext...

Nai-Bin Gu, Qing-Yi Si, Chen-Xu Yang et al. · 0 citations

#artificial intelligence Preprint Aug 2026

CoRe-MoE: Compact Reusable MoE for Continual Multimodal Instruction Tuning

CoRe-MoE is proposed, a Compact Reusable MoE framework for parameter-efficient continual multimodal instruction tuning that improves final average performance over the strongest competing baseline by up to 5.90 points, while using less than 1% of the trainable parameters required by sequential LoRA for later tasks.

Run-Ze Liu, Naibin Gu, Ming-Xu Ai et al. · 0 citations