DirectHarm-4

The 'DirectHarm-4' dataset/benchmark is used to evaluate the safety and refusal behavior of language models during fine-tuning, specifically assessing how well models maintain their safety-relevant representations.

Papers using DirectHarm-4 (1)

RefusalGuard: Geometry-Preserving Fine-Tuning for Safety in LLMs2026