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This paper introduces EYT-Bench, a human-centered benchmark for evaluating LLMs in multi-turn dialogues with a decoupled user simulation, target modeling, and judging design. It reveals that closed- and open-source models differ significantly on objective intent-tracking but are similar on subjective dimensions, and that reasoning improves objective tracking while persona format strongly affects trajectory spread.