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TurnBench reveals that human-like turn-taking in dialogue remains elusive for AI, with systems struggling to balance accuracy and false positives in interruption detection.
Jointly training tool creation and use allows LLMs to achieve unprecedented accuracy on procedural reasoning tasks, outperforming larger models and enhancing smaller ones.
