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README.md

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+# ANAH: Analytical Annotation of Hallucinations in Large Language Models
+
+[![arXiv](https://img.shields.io/badge/arXiv-2312.14033-b31b1b.svg)](https://arxiv.org/abs/2405.20315)
+[![license](https://img.shields.io/github/license/InternLM/opencompass.svg)](./LICENSE)
+
+This page holds the InternLM2-7B model which is trained with the ANAH dataset. It is fine-tuned to annotate the hallucination in LLM's responses.
+
+More information please refer to our [project page](https://open-compass.github.io/ANAH/).
+
+## 🤗 How to use the model
+
+You have to follow the prompt in [our paper](https://arxiv.org/abs/2405.20315) to annotate the hallucination.
+
+The models follow the conversation format of InternLM2-chat, with the template protocol as:
+
+```python
+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{ji2024anah,
+  title={ANAH: Analytical Annotation of Hallucinations in Large Language Models},
+  author={Ji, Ziwei and Gu, Yuzhe and Zhang, Wenwei and Lyu, Chengqi and Lin, Dahua and Chen, Kai},
+  journal={arXiv preprint arXiv:2405.20315},
+  year={2024}
+}