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Task completion in LLMs can be achieved at a staggering 92% increase in execution time due to subtle manipulation of skill selection and instruction processes.
A staggering 68% of MLLM-generated webpages fail to render correctly across different environments, raising serious concerns about their reliability in real-world applications.
VisualRepair resolves 196 software issues by intelligently focusing on relevant visual regions, outperforming existing methods and showcasing the power of multimodal understanding in automated repair.
Visual artifacts are not just supplementary; they are essential for ensuring code correctness in multimodal programming tasks.
Achieve real-time, high-precision GUI navigation with minimal resources by pruning redundant visual tokens *without* retraining.
Achieve higher-quality, more reusable UI code for complex websites by breaking down the generation process into semantic-aware segmentation, visual-aware component merging, and priority-based element refinement.
