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MLLMs can revolutionize video understanding by integrating watching, remembering, and reasoning into a cohesive framework that addresses long-range dependencies and sparse evidence.
U4D reveals that leveraging spatial uncertainty can drastically enhance the quality of LiDAR scene synthesis, achieving unprecedented fidelity and coherence.
The fragmented field of world modeling can now be unified under a "levels x laws" taxonomy, revealing critical gaps in autonomous model revision and decision-centric evaluation.
A new benchmark dataset and challenge results highlight the state-of-the-art in infrared image super-resolution for remote sensing, pushing the field towards practical applications.
Latent reasoning can beat explicit Chain-of-Thought – but only if you force it to learn causal dynamics via a visual world model, not just language.
