Explore, Select, Derive, and Recall: Augmenting LLM with Human-like Memory for Mobile Task Automation

arXiv:2312.03003v2 Announce Type: replace-cross
Abstract: The advent of large language models (LLMs) has opened up new opportunities in the field of mobile task automation. Their superior language understanding and reasoning capabilities allow users to automate complex and repetitive tasks. However, due to the inherent unreliability and high operational cost of LLMs, their practical applicability is quite limited. To address these issues, this paper introduces MobileGPT, an innovative LLM-based mobile task automator equipped with a human-like app memory. MobileGPT emulates the …

abstract arxiv automate automation capabilities cs.ai cs.cl cs.hc explore however human human-like language language models language understanding large language large language models llm llms memory mobile opportunities reasoning recall task automation tasks type understanding