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Notes on vision-language models (vlms)
2 notes
Analysis-by-Proxy: Localization Signals in VLMs Operating as Condition Encoders
Researchers investigate why Vision-Language Models (VLMs) struggle to maintain localization accuracy during image editing, even though they have strong localization capabilities on their own. The study suggests that…
Uncertainty Quantification for Computer-Use Agents: A Benchmark across Vision-Language Models and GUI Grounding Datasets
Researchers have developed a benchmark called Argus to test the reliability of computer-use agents that convert vision-language model predictions into executable clicks. The study compares 27 methods across four…
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