4 citations · 5 across the 10 of their papers we have counts for
4 papers · 1 filter
DynaKV: Enabling Accurate and Efficient Long-Sequence LLM Decoding on Smartphones
Tuowei Wang, Minxing Huang, Fengzu Li +3
As the demand for human-like reasoning, multi-turn dialogues, and long-form responses grows, large language models (LLMs) are increasingly expected to support efficient and effecti…
Long Exposure: Accelerating Parameter-Efficient Fine-Tuning for LLMs under Shadowy Sparsity
Tuowei Wang, Kun Li, Zixu Hao +5
The adaptation of pre-trained large language models (LLMs) to diverse downstream tasks via fine-tuning is critical for numerous applications. However, the inefficiency of parameter…
Scaling LLM Test-Time Compute with Mobile NPU on Smartphones
Zixu Hao, Jianyu Wei, Tuowei Wang +5
Deploying Large Language Models (LLMs) on mobile devices faces the challenge of insufficient performance in smaller models and excessive resource consumption in larger ones. This p…
Scaling Up On-Device LLMs via Active-Weight Swapping Between DRAM and Flash
Fucheng Jia, Zewen Wu, Shiqi Jiang +7
Large language models (LLMs) are increasingly being deployed on mobile devices, but the limited DRAM capacity constrains the deployable model size. This paper introduces ActiveFlow…