Phi-4-reasoning-vision and the lessons of training a multimodal reasoning model
Summary
Microsoft Research presents Phi-4-reasoning-vision-15B, a compact open-weight multimodal reasoning model and shares practical lessons from its training, including mid-fusion architecture, careful data curation, and a mixed reasoning approach to balance latency and accuracy. The post provides benchmark evaluations, data composition experiments, synthetic data insights, safety considerations, and release and collaboration details, outlining future directions for smaller, efficient vision-language models.