Author

M. Le

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#small language model Preprint Sep 2026

SCOPD: Sparse-Context On-Policy Self-Distillation for Efficient Vision-Language Models

Reasoning vision-language models (VLMs) process images and videos as long sequences of visual tokens, making inference expensive. Training-free token pruning reduces this cost, but aggressive compression can sharply degrade performance, often attributed to irreversible loss of task-relevant visual information. We show...

Ahmadreza Jeddi, En-Ming Zhang, Jasper Gerigk et al. · 0 citations

#machine learning Preprint Sep 2026

RAPTOR: Role-Aware Private Training for Mixture-of-Experts

This work introduces RAPTOR - a Role-Aware Private Training framework, which alternates shared and expert optimization and targets each failure directly, using expert-specific clipping and noise together with a public expected-owner denominator and a count-independent update schedule that avoids conditioning on private...

Duc Dm, Khai Le-Duc, D. Nguyen et al. · 0 citations