metadata

license: apache-2.0

ANAH-v2: Scaling Analytical Hallucination Annotation of Large Language Models

This page holds the ANAH-v2 model which is trained base on the Internlm2-7B. It is fine-tuned to annotate the hallucination in LLM's responses.

More information please refer to our project page.

🤗 How to use the model

You have to follow the prompt in our paper to annotate the hallucination and you can find it easily here.

The models follow the conversation format of InternLM2-chat, with the template protocol as:

dict(role='user', begin='<|im_start|>user\n', end='<|im_end|>\n'),
dict(role='assistant', begin='<|im_start|>assistant\n', end='<|im_end|>\n'),

🖊️ Citation

If you find this project useful in your research, please consider citing:

@article{gu2024anah,
  title={ANAH-v2: Scaling Analytical Hallucination Annotation of Large Language Models},
  author={Gu, Yuzhe and Ji, Ziwei and Zhang, Wenwei and Lyu, Chengqi and Lin, Dahua and Chen, Kai},
  journal={arXiv preprint arXiv:2407.04693},
  year={2024}
}