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cs.CL2025
Large-Small Model Collaboration for Enhancing Edge-Deployed Small Models
Peigen Liu, Yijiang Fan, Zixuan Xu +3
Edge devices host domain-specific small language models (SLMs) with limited resources, while private clouds offer larger LLMs. We propose G-Boost, an adaptive edge-cloud framework…
cs.CL2024★ 4 cited
FIT-RAG: Black-Box RAG with Factual Information and Token Reduction
Yuren Mao, Xuemei Dong, Wenyi Xu +3
Due to the extraordinarily large number of parameters, fine-tuning Large Language Models (LLMs) to update long-tail or out-of-date knowledge is impractical in lots of applications.…