End-to-End GUI Agent for Automated Computer Interaction: Superior Performance Without Expert Prompts or Commercial Models

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UI-TARS introduces a novel architecture for automated GUI interaction by combining vision-language models with native OS integration. The key innovation is using a three-stage pipeline (perception, reasoning, action) that operates directly through OS-level commands rather than simulated inputs. Key technical points: Vision transformer processes screen content to identify interactive elements Large language model handles reasoning about task requirements and UI state Native OS command execution instead of mouse/keyboard simulation Closed-loop feedback system for error recovery Training on 1.2M GUI interaction sequences Results show: 87% success rate on complex multi-step GUI tasks 45% reduction in error rates vs. baseline approaches 3x faster task completion compared to rule-based systems Consistent performance across Windows/Linux/MacOS 92% recovery rate from interaction failures I think this approach could transform GUI automation by making it more […]

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