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README.md
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---
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license: mit
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datasets:
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```
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.
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├── 2b_l10
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│ └── outputs_add_free
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│ ├── all -- full-sequence intervention
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│ │ ├── lang -- Lang. objective
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│ │ │ ├── 0 -- concept 0
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│ │ │ ├── 1 -- concept 1
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│ │ │ ...
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│ │ └── simpo -- SimPO objective
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│ └── f2+l2 -- prompt-only intervention (2 prefix tokens, 2 suffix tokens)
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│ ├── lang
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│ └── simpo
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```
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---
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license: mit
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datasets:
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```
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.
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├── 2b_l10 -- setup
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│ └── outputs_add_free
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│ ├── all -- full-sequence intervention
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│ │ ├── lang ---- Lang. objective
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│ │ │ ├── 0 ------ concept 0
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│ │ │ ├── 1 ------ concept 1
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│ │ │ ...
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│ │ └── simpo -- SimPO objective
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│ └── f2+l2 ---- prompt-only intervention (2 prefix tokens, 2 suffix tokens)
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│ ├── lang
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│ └── simpo
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...
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```
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## Citation
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If you find our work useful, please cite:
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```bibtex
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@inproceedings{bao2026towards,
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title = {Towards Steering without Sacrifice: Principled Training of Steering Vectors for Prompt-only Interventions},
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author = {Bao, Yuntai and Li, Qinfeng and Yu, Xinyan and Zhang, Xuhong and Su, Ge and Zhang, Wenqi and Yan, Liu and Weng, Haiqin and Yin, Jianwei},
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booktitle = {Forty-third International Conference on Machine Learning},
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year = {2026},
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url = {https://openreview.net/forum?id=AaT3liS5PE},
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}
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```
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