Empowering llm to use smartphone for intelligent task automation
Mobile task automation is an attractive technique that aims to enable voice-based hands-
free user interaction with smartphones. However, existing approaches suffer from poor …
free user interaction with smartphones. However, existing approaches suffer from poor …
Understanding the weakness of large language model agents within a complex android environment
Large language models (LLMs) have empowered intelligent agents to execute intricate
tasks within domain-specific software such as browsers and games. However, when applied …
tasks within domain-specific software such as browsers and games. However, when applied …
Os-atlas: A foundation action model for generalist gui agents
Existing efforts in building GUI agents heavily rely on the availability of robust commercial
Vision-Language Models (VLMs) such as GPT-4o and GeminiProVision. Practitioners are …
Vision-Language Models (VLMs) such as GPT-4o and GeminiProVision. Practitioners are …
Autodroid: Llm-powered task automation in android
Mobile task automation is an attractive technique that aims to enable voice-based hands-
free user interaction with smartphones. However, existing approaches suffer from poor …
free user interaction with smartphones. However, existing approaches suffer from poor …
Sociodojo: Building lifelong analytical agents with real-world text and time series
We introduce SocioDojo, an open-ended lifelong learning environment for developing ready-
to-deploy autonomous agents capable of performing human-like analysis and decision …
to-deploy autonomous agents capable of performing human-like analysis and decision …
AutoDroid-V2: Boosting SLM-based GUI Agents via Code Generation
Large language models (LLMs) have brought exciting new advances to mobile UI agents, a
long-standing research field that aims to complete arbitrary natural language tasks through …
long-standing research field that aims to complete arbitrary natural language tasks through …
A Mutual Information Duality Algorithm for Multi-Agent Specialization
S Juang, Q Cao, Y Zhou, R Liu, N Zhang, ES Liu - openreview.net
The social behavior change in a population has long been studied as an essential
component of multi-agent learning. The learning of behavioral change not only involves …
component of multi-agent learning. The learning of behavioral change not only involves …