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Real Human-Human dialogue data can transform turn-taking in dialogue systems, achieving better proficiency without sacrificing semantic quality.
MR-IQA-2 reveals that decoupling reasoning from rating can significantly enhance the reliability of image quality assessments, achieving human-level alignment without sacrificing interpretability.