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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.
Text-only LLMs already contain surprisingly diverse levels of auditory knowledge, and this pre-existing knowledge strongly predicts their performance when adapted for audio-language tasks.
