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NoisyRollout: Reinforcing Visual Reasoning with Data Augmentation

arXiv — cs.CV•Monday, November 3, 2025 at 5:00:00 AM
PositiveArtificial Intelligence
The introduction of NoisyRollout marks a significant step forward in enhancing the reasoning capabilities of vision-language models (VLMs) through effective data augmentation. This method not only addresses the challenges of imperfect visual perception but also improves policy exploration, which is crucial for scaling test-time compute. By tackling these issues, NoisyRollout has the potential to advance the field of reinforcement learning and improve the performance of VLMs, making it an important development for researchers and practitioners alike.
— via World Pulse Now AI Editorial System
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