4 papers
IMWM: Intuition Models Complement World Models for Latent Planning
Baoqi Gao, Ruize Han, Miao Wang +1
Planning with a learned latent world model is a promising route to control from raw pixels, but a strong world model alone is not enough. We show this experimentally: even with a p…
Trifuse: Enhancing Attention-Based GUI Grounding via Multimodal Fusion
Longhui Ma, Di Zhao, Siwei Wang +2
GUI grounding maps natural language instructions to the correct interface elements, serving as the perception foundation for GUI agents. Existing approaches predominantly rely on f…
SC-MAS: Constructing Cost-Efficient Multi-Agent Systems with Edge-Level Heterogeneous Collaboration
Di Zhao, Longhui Ma, Siwei Wang +2
Large Language Model (LLM)-based Multi-Agent Systems (MAS) enhance complex problem solving through multi-agent collaboration, but often incur substantially higher costs than single…
COLA: A Scalable Multi-Agent Framework For Windows UI Task Automation
Di Zhao, Longhui Ma, Siwei Wang +2
With the rapid advancements in Large Language Models (LLMs), an increasing number of studies have leveraged LLMs as the cognitive core of agents to address complex task decision-ma…