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Environment engineering, not just agent workflows, is the key to unlocking the full potential of autonomous scientific discovery, as demonstrated by EurekAgent's record-breaking results.
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.
