Large Language User Interfaces: Voice Interactive User Interfaces powered by LLMs

Syed Mekael Wasti,Ken Q. Pu,Ali Neshati

CoRR(2024)

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摘要
The recent meteoric advancements in large language models have showcased a remarkable capacity for logical reasoning and comprehension. These newfound capabilities have opened the door to a new generation of software, as has been made obvious through the innumerable ways they are being applied in the industry. This research focuses on harnessing and guiding the upgraded power of LLMs to construct a framework that can serve as an intermediary between a user and their user interface. By comprehending a user's needs through a thorough analysis of natural textual inputs, an effectively crafted LLM engine can classify the most likely available application, identify the desired UI component and subsequently execute the user's expected actions. This integration can evolve static UI systems into highly dynamic and adaptable solutions, introducing a new frontier of intelligent and responsive user experiences. Such a framework can fundamentally shift how users accomplish daily tasks, skyrocket efficiency, and greatly reduce cognitive load.
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