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Robot video world models can be significantly improved by distilling a multimodal reward function and stabilizing long-horizon inference, leading to better instruction following and manipulation accuracy.
Forget A100s for long-context LLMs – Salca achieves up to 74x better energy efficiency with a sparsity-aware hardware accelerator.
Model-based RL can leverage non-differentiable domain metrics to drastically improve spatiotemporal forecasting, especially for capturing extreme events.
