#Vision Language Models

Beyond Observable Data: Imaginative Perception for VLMs

Researchers introduce Imaginative Perception Tokens (IPTs) to enable VLMs to reason about unobserved spatial configurations, outperforming textual chain-of-thought.

RL Fixes Overfitting in AI Radiology Reports

Microsoft Research’s UniRG framework uses reinforcement learning guided by clinical error signals to achieve state-of-the-art performance in AI radiology reports.

olmOCR 2 Redefines AI Document OCR Accuracy