Enhancing GUI Agents: Addressing Domain Bias with Real-Time Video Retrieval
A new approach is proposed to improve GUI agents' effectiveness in domain-specific tasks through real-time web video retrieval and plug-and-play annotation methods.
Recent advancements in large vision-language models have significantly improved the capabilities of GUI agents in understanding and interacting with user interfaces. However, these agents still face challenges due to domain bias, stemming from limited exposure to specific contexts.
To tackle this issue, the proposed solution involves integrating real-time web video retrieval, allowing GUI agents to access and utilize relevant video content dynamically. This method aims to enhance their performance in various domain-specific tasks.
Additionally, the incorporation of plug-and-play annotation techniques is expected to streamline the process of adapting these agents to new domains, thereby increasing their operational efficiency and effectiveness.