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A world-model-centric approach enables autonomous agents to effectively navigate cognitive-physical limits, achieving an impressive 88.3% success rate in high-speed racing scenarios.
Finally, a zero-knowledge data valuation system that scales: ZK-Value proves Shapley values in seconds to minutes, beating specialized ZK baselines by over an order of magnitude.
Scaling up LLMs doesn't uniformly improve context handling; instead, it paradoxically amplifies the tendency to copy irrelevant tokens while simultaneously improving resistance to misinformation.
Don't let missing modalities sink your human sensing: PTA leverages meta-learning and knowledge distillation to build surprisingly robust single-modality encoders from noisy multimodal data.
