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/人机交互/Large Multimodal Model (LMM)
论文专业

Large Multimodal Model (LMM)

能同时处理和生成文本、图像、音频等多种模态信息的大规模基础模型,常作为界面操控型 AI 智能体的底座。

English Definition

"A large-scale foundation model capable of processing and generating multiple modalities (e.g., text, images, audio) within a unified representation, often serving as the backbone for embodied or interface-manipulating AI agents."

用法说明 · 针对中文母语者

LMM 与 LLM(Large Language Model)相对,但注意文献中也常写作 MLLM(Multimodal Large Language Model),本篇用 LMM。中文母语者常与「多模态大模型」混用。

真实用例 · 3

"The recent advent of Computer-Using Agents (CUA) based on Large Multimodal Models, which can directly manipulate graphical user interfaces, offers new opportunities for such accessibility."

论文Pipeline extracted — review needed·摘要介绍 CUA 的技术基础是 LMM

"Recent advances in Large Multimodal Model (LMM) have led to the emergence of Computer-Using Agent (CUA)"

论文Pipeline extracted — review needed·引言交代技术演进

"Our paper contributes by presenting one of the first empirical studies exploring how LMM-based agents can facilitate accessibility in visually intensive online shopping contexts."

论文Pipeline extracted — review needed·结尾再次强调 LMM-based agent 的研究贡献
由 pipeline 自动采集,待人工 review