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2023

Intelligent Virtual Assistants with LLM-based Process Automation

Guan, Yanchu, Wang, Dong, Chu, Zhixuan et al.

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While intelligent virtual assistants like Siri, Alexa, and Google Assistant have become ubiquitous in modern life, they still face limitations in their ability to follow multi-step instructions and accomplish complex goals articulated in natural language.

However, recent breakthroughs in large language models (LLMs) show promise for overcoming existing barriers by enhancing natural language processing and reasoning capabilities.
Though promising, applying LLMs to create more advanced virtual assistants still faces challenges like ensuring robust performance and handling variability in real-world user commands.
This paper proposes a novel LLM-based virtual assistant that can automatically perform multi-step operations within mobile apps based on high-level user requests.

Intelligent Virtual Assistants with LLM-based Process Automation · Around

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