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LLMs' fluent outputs mask unreliable reasoning, creating a "drift" effect that demands a two-layer solution for stable human-AI collaboration.
Forget building reasoning *into* LLMs; this work shows how to build reasoning *around* them by structuring human-AI interaction.
