Real-Time Continual Learning on Embedded GPUs
Zexin Li · Dongjoo Seo · Nikil Dutt · Jun Sheng · Cong Liu
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Zexin Li · Dongjoo Seo · Nikil Dutt · Jun Sheng · Cong Liu
Yezheng Cheng · Zexin Li · Jiaqi Wu · Zhihong Zhang · Simin Chen
Yiming Chen · Zexin Li · Xianghu Yue · Robby T. Tan · Haizhou Li
LLM serving is limited by provider-side resources: longer generations consume more GPU time, increase latency, and reduce throughput in multi-tenant systems. This creates a denial-of-service (DoS) risk, where attackers degrade service by inducing excessive generation. Prior work on LLM DoS primar...
Yiming Zeng · Jinghan Cao · Zexin Li · Wanhao Yu · Zhankai Ye · Dawei Xiang · Ting Hua · Xin Liu · Shangqian Gao · Tingting Yu
Large Language Models (LLMs) have fundamentally transformed natural language processing (NLP), demonstrating remarkable capabilities across a wide spectrum of tasks. However, when applied to instruction-based text editing, LLMs continue to exhibit some limitations. Different from free-form genera...
Saptarshi Nath · Christos Peridis · Eseoghene Benjamin · Xinran Liu · Soheil Kolouri · Peter Kinnell · Zexin Li · Cong Liu · Shirin Dora · Andrea Soltoggio