research
Steer2Edit converts LLM steering vectors into targeted weight edits without retraining
Researchers propose Steer2Edit, a training-free framework that converts steering vectors into component-level weight edits targeting individual attention heads and MLP neurons. The method achieves up to 17.2% safety improvements, 9.8% gains in truthfulness, and 12.2% reduction in reasoning length while maintaining standard inference compatibility.