32 citations · 36 across the 5 of their papers we have counts for
5 papers
MCPWorld: A Unified Benchmarking Testbed for API, GUI, and Hybrid Computer Use Agents
Yunhe Yan, Shihe Wang, Jiajun Du +12
(M)LLM-powered computer use agents (CUA) are emerging as a transformative technique to automate human-computer interaction. However, existing CUA benchmarks predominantly target GU…
DroidCall: A Dataset for LLM-powered Android Intent Invocation
Weikai Xie, Li Zhang, Shihe Wang +2
The growing capabilities of large language models in natural language understanding significantly strengthen existing agentic systems. To power performant on-device mobile agents f…
MobileViews: A Million-scale and Diverse Mobile GUI Dataset
Longxi Gao, Li Zhang, Shihe Wang +6
Visual language models (VLMs) empower mobile GUI agents to interpret complex mobile screens and respond to user requests. Training such capable agents requires large-scale, high-qu…
LlamaTouch: A Faithful and Scalable Testbed for Mobile UI Task Automation
Li Zhang, Shihe Wang, Xianqing Jia +5
The emergent large language/multimodal models facilitate the evolution of mobile agents, especially in mobile UI task automation. However, existing evaluation approaches, which rel…
A Survey of Resource-efficient LLM and Multimodal Foundation Models
Mengwei Xu, Wangsong Yin, Dongqi Cai +15
Large foundation models, including large language models (LLMs), vision transformers (ViTs), diffusion, and LLM-based multimodal models, are revolutionizing the entire machine lear…