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PGPO transforms how we assign credit in multi-turn tasks, allowing effective actions to shine even in the face of failures.
SLIM achieves state-of-the-art performance in robot manipulation with just 0.5B parameters, outperforming larger models while slashing GPU memory usage and inference latency.