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Activating Visual Context and Commonsense Reasoning through Masked Prediction in VLMs

arXiv — cs.CV•Tuesday, October 28, 2025 at 4:00:00 AM
PositiveArtificial Intelligence
Recent advancements in reasoning models are enhancing the capabilities of large language models, especially in tasks that offer verifiable rewards. However, there's still a challenge in applying these models to real-world multimodal scenarios, particularly in vision language tasks. This research highlights the importance of bridging the gap between single modal language settings and multimodal applications, paving the way for more effective AI systems that can understand and interpret visual and textual information together.
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