AI RESEARCH
HUOZIIME: An On-Device LLM-enhanced Input Method for Deep Personalization
arXiv CS.AI
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ArXi:2604.14159v1 Announce Type: cross Mobile input method editors (IMEs) are the primary interface for text input, yet they remain constrained to manual typing and struggle to produce personalized text. While lightweight large language models (LLMs) make on-device auxiliary generation feasible, enabling deeply personalized, privacy-preserving, and real-time generative IMEs poses fundamental challenges. To this end, we present HUOZIIME, a personalized on-device IME powered by LLM. We endow HUOZIIME with initial human-like prediction ability by post.