ML Anthology

Truth Forest: Toward Multi-Scale Truthfulness in Large Language Models Through Intervention Without Tuning

Zhongzhi Chen, Xingwu Sun, Xianfeng Jiao, Fengzong Lian, Zhanhui Kang, Di Wang, Chengzhong Xu
AAAI 2024 pp. 20967-20974
doi:10.1609/AAAI.V38I19.30087 /aaai/2024/chen2024aaai-truth/
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Cite

Text

Chen et al. "Truth Forest: Toward Multi-Scale Truthfulness in Large Language Models Through Intervention Without Tuning." AAAI Conference on Artificial Intelligence, 2024. doi:10.1609/AAAI.V38I19.30087

Markdown

[Chen et al. "Truth Forest: Toward Multi-Scale Truthfulness in Large Language Models Through Intervention Without Tuning." AAAI Conference on Artificial Intelligence, 2024.](https://mlanthology.org/aaai/2024/chen2024aaai-truth/) doi:10.1609/AAAI.V38I19.30087

BibTeX

@inproceedings{chen2024aaai-truth,
  title     = {{Truth Forest: Toward Multi-Scale Truthfulness in Large Language Models Through Intervention Without Tuning}},
  author    = {Chen, Zhongzhi and Sun, Xingwu and Jiao, Xianfeng and Lian, Fengzong and Kang, Zhanhui and Wang, Di and Xu, Chengzhong},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2024},
  pages     = {20967-20974},
  doi       = {10.1609/AAAI.V38I19.30087},
  url       = {https://mlanthology.org/aaai/2024/chen2024aaai-truth/}
}