ASSELab/DAT-Qwen2.5-14B-Instruct

DAT - Distributional Adversarial Training

DAT utilizes continuous adversarial training on diffusion-based adversarial examples to close the gap between empirical and population-robust risk. We fine-tune Qwen/Qwen2.5-14B-Instruct.

This model is NOT using adversarial training! This is an ablation/baseline using just the diffusion data to fine-tune.

For further information, consult our paper or repository https://github.com/ASSELab/DAT

Citation

@misc{,
      title={}, 
      author={},
      year={2026},
      eprint={},
      archivePrefix={arXiv},
      primaryClass={cs.LG}
}