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ADER achieves LiDAR-consistent distance estimation with a remarkable two orders of magnitude speedup over traditional full-band hyperspectral methods.
Make robust decisions under unseen data distributions by leveraging relevant data distributions generated from a meta-distribution.
Instruction-following in large reasoning models gets a serious upgrade with RAIN-Merging, a gradient-free technique that merges in instruction-tuned capabilities without wrecking the model's ability to think step-by-step.
