March 6, 2024, 5:48 a.m. | Kaiyan Zhang, Jianyu Wang, Ermo Hua, Biqing Qi, Ning Ding, Bowen Zhou

cs.CL updates on arXiv.org arxiv.org

arXiv:2403.03129v1 Announce Type: new
Abstract: With the advancement of language models (LMs), their exposure to private data is increasingly inevitable, and their deployment (especially for smaller ones) on personal devices, such as PCs and smartphones, has become a prevailing trend. In contexts laden with user information, enabling models to both safeguard user privacy and execute commands efficiently emerges as an essential research imperative. In this paper, we propose CoGenesis, a collaborative generation framework integrating large (hosted on cloud infrastructure) and …

abstract advancement arxiv become context cs.cl data deployment devices framework information language language models lms pcs private data small small language models smartphones trend type

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