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MANTA reveals that multi-agent systems can dynamically adapt their communication structures during execution, leading to significant performance gains.
Forget expensive human annotation: this self-play method lets LLMs bootstrap their own training signals for open-ended tasks by generating rubrics to evaluate their own outputs.
