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Shanghai Jiao Tong University
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Excessive weight decay can destabilize training by driving scale-invariant weight norms past a critical boundary, leading to sudden loss spikes.
MSA slashes per-token attention compute by over 28x while maintaining competitive performance, revolutionizing how LLMs can handle ultra-long contexts.
Cosmos 3 sets a new benchmark for omnimodal models, outperforming existing state-of-the-art in both Text-to-Image and Image-to-Video tasks.
Skill-based agents, designed for modularity and scalability, are shockingly vulnerable: a single compromised skill can turn the entire system into a weapon.
Precisely manipulate fragile objects in-hand without tactile feedback using a rigidity-based force planning approach that converts force trajectories into joint movements.
