How Qwen’s Mid‑Training with Value‑Document Guides Slashes Error Rates

Researchers at Claude applied the MSM (mid‑training) approach to Qwen models, inserting a value‑document pre‑training phase before alignment fine‑tuning, which reduced misalignment rates from 68%/54% to 5%/7% and cut required fine‑tuning data by 40‑60×, demonstrating superior generalization when combined with standard alignment.

AI AlignmentMSMQwen

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How Qwen’s Mid‑Training with Value‑Document Guides Slashes Error Rates