dailyai.report

The Temporal Global Policy Optimization (TGPO) algorithm uses reinforcement learning with verifiable rewards to fix temporal blindness in multimodal models. Current MLLMs often rely on spatial shortcuts rather than event ordering. This approach forces models to reason about the evolution of actions. It improves accuracy for first-person video understanding tasks.