Author

Ming-Kang Liu

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Preprint Nov 2026

UniCompress: From Multi-LoRA Experts to One Compact Model for Edge Intelligence

Embodied and edge systems increasingly rely on vision-language models (VLMs) to support heterogeneous skills, yet deploying a separate task adapter for each skill while retaining a high-precision backbone creates substantial memory and management costs. We present UniCompress, a deployment-oriented framework that conve...

Ming-Kang Liu, P. Jiao, Wei-Ming Meng et al. · 0 citations

Preprint Oct 2026

RCSD: Reinforcement and Continual Learning for Domain-Specific Speculative Decoding

Speculative decoding accelerates large language model inference by employing a compact draft model to propose candidate tokens that are verified in parallel by a target model. Conventional training relies on soft-label distillation, which forces the draft model to mimic the target's full output distribution, including...

Ming-Kang Liu, Wei-Ming Meng, P. Jiao et al. · 0 citations