Artificial Intelligence #ai#artificial intelligence
UniT Framework Enables Multimodal Chain-of-Thought Test-Time Scaling for AI Reasoning
UniT introduces a framework for unified multimodal models to perform chain-of-thought reasoning at test time, enabling iterative verification and refinement. Key findings show that sequential reasoning is more compute-efficient than parallel sampling and that training on generation/editing trajectories improves out-of-distribution visual reasoning.
Jun 16, 2026 1 source