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MLEvolve not only breaks the barriers of information isolation in MLE agents but also achieves state-of-the-art performance in algorithm discovery within half the standard runtime.
Forget RLHF, self-play, or chain-of-thought: geometric consensus with sparse supervision unlocks scientific reasoning in LLMs.
