Zhenyan Lu — accepted AI-conference papers

2026

MobiEdit: Resource-efficient Knowledge Editing for Personalized On-device LLMs

Zhenyan Lu, Daliang Xu, Dongqi Cai, Zexi Li, Wei Liu, Jian Luan +3

ICLR 2026poster

Large language models (LLMs) are deployed on mobile devices to power killer applications such as intelligent assistants. LLMs pre-trained on general corpora often hallucinate when handling personalized or unseen queries, leading to incorrect or outdated responses. Knowledge editing addresses this b…

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2025

Demystifying Small Language Models for Edge Deployment

Zhenyan Lu, Xiang Li, Dongqi Cai, Rongjie Yi, Fangming Liu, Wei Liu +4

ACL 2025long

Small language models (SLMs) have emerged as a promising solution for deploying resource-constrained devices, such as smartphones and Web of Things. This work presents the first comprehensive study of over 60 SLMs such as Microsoft Phi and Google Gemma that are publicly accessible. Our findings show…

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