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Consensus reasoning through structured DAG aggregation reveals hidden insights in LLM outputs, outperforming traditional methods and providing a transparent view of model reasoning.
Human calibration, rather than just data scale or prompts, is the key to achieving scenario-specific turn-taking in AI dialogues.
