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Smaller models can significantly enhance the training of larger models by providing structured exploration signals that improve performance without the noise of traditional methods.
Ditch the documentation: compact "Gene" representations of experience outperform documentation-heavy "Skill" packages for test-time control and iterative evolution in scientific code-solving.