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Forget stilted, unconvincing VR characters: EBM-RL's novel reward decomposition finally makes video-grounded role-playing dialogue feel immersive.
FedQueue tackles the Achilles' heel of federated learning on HPC clusters - unpredictable queue delays - by explicitly modeling and mitigating their impact, leading to significant speedups.
Today's best AI agents still fail more than half the time on real-world tasks combining vision, search, and coding, revealing critical gaps in reasoning and tool use.
Uncover hidden backdoors in your pre-trained vision encoders without retraining, simply by watching how attention shifts as you mask parts of the image.
Foundation models can accelerate scientific computation, but only if they respect physical laws and safety limits, a challenge this paper tackles by deriving design principles for constrained scientific foundation models.
A 1000x larger video reasoning dataset reveals early signs of emergent generalization, offering a new foundation for training and evaluating spatiotemporal AI.
