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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
#edge computing Preprint Nov 2026

Parallelism-Aligned Pruning and Round-Aware Context Reuse for On-Device Multimodal Agents

PARC is presented, which combines parallelism-aligned structured pruning with lifetime-aware KV-cache reorganization, which uses first-order Taylor importance and grouped-query-attention-aware selection to make attention dimensions divisible by the target core count while preserving the query-to-key/value ratio and hea...

P. Jiao, Ming-Kang Liu, 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

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