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Reflecting on failed expert trajectories can boost reasoning performance more than tackling problems directly from scratch.
MADA-RL boosts compact model reasoning accuracy by 2% with 16 times fewer trainable parameters, redefining how critics learn from generators.
BitResEdit achieves unprecedented text alignment in image editing while preserving background details, outperforming prior methods by a significant margin.
