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Forget external signals – unlock better LLM post-training by mining model internals with sparse autoencoders to reveal data diversity, difficulty, and quality.
DINOv3 representations and diffusion-based planning enable a visual tracker that's both robust to occlusions and discriminative enough to avoid visually similar distractors.
