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Forget manual curation—aligning policy gradients with a validation set adaptively selects RL training data, leading to more stable LLM training and improved performance.
LiDAR semantic segmentation models can now generalize across drastically different viewpoints thanks to a novel geometric consistency approach that enforces prediction consistency across augmented views.
