Author

Yue Han

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Preprint Aug 2026

Beyond Full-Model Rollback: AuroSFT for Adapter-State Multi-Task Fine-Tuning

AuroSFT is introduced, a parameter-efficient framework that recasts the carried state of overfitting-aware multi-task SFT as a compact, mergeable adapter state and obtains higher accuracy on all five backbones.

Yue Han, Zi-Niu Liu · 0 citations