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Despite promising theoretical foundations, RoPE-aligned rotations fail to improve quantization accuracy, highlighting a critical misalignment in current methods.
Routing decisions based on exploratory trajectories can significantly boost cost efficiency in software engineering tasks without losing the performance edge of stronger models.
WaveForward achieves up to 89.1% reduction in transport costs while enabling agile, omnidirectional movement through innovative use of passive casters.
Current vision-language-action models falter in dynamic robotic manipulation due to limited data and poor spatiotemporal reasoning, but a new dataset and architecture close the gap.
Quadruped robots can run four times longer without overheating by baking motor temperature awareness directly into their locomotion policy.
