Add missing metadata and clarify license (#1)
Browse files- Add missing metadata and clarify license (d9b5b3a1d17b6d7ae0e766acf993d966f6c45857)
Co-authored-by: Niels Rogge <[email protected]>
README.md
CHANGED
|
@@ -1,6 +1,17 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
# ANAH: Analytical Annotation of Hallucinations in Large Language Models
|
| 2 |
|
| 3 |
-
[](./LICENSE)
|
| 5 |
|
| 6 |
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.
|
|
@@ -14,8 +25,12 @@ You have to follow the prompt in [our paper](https://arxiv.org/abs/2405.20315) t
|
|
| 14 |
The models follow the conversation format of InternLM2-chat, with the template protocol as:
|
| 15 |
|
| 16 |
```python
|
| 17 |
-
dict(role='user', begin='<|im_start|>user
|
| 18 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
| 19 |
```
|
| 20 |
|
| 21 |
## 🖊️ Citation
|
|
@@ -27,4 +42,7 @@ If you find this project useful in your research, please consider citing:
|
|
| 27 |
author={Ji, Ziwei and Gu, Yuzhe and Zhang, Wenwei and Lyu, Chengqi and Lin, Dahua and Chen, Kai},
|
| 28 |
journal={arXiv preprint arXiv:2405.20315},
|
| 29 |
year={2024}
|
| 30 |
-
}
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
library_name: transformers
|
| 4 |
+
pipeline_tag: text-classification
|
| 5 |
+
tags:
|
| 6 |
+
- hallucination-detection
|
| 7 |
+
- text-classification
|
| 8 |
+
language:
|
| 9 |
+
- en
|
| 10 |
+
---
|
| 11 |
+
|
| 12 |
# ANAH: Analytical Annotation of Hallucinations in Large Language Models
|
| 13 |
|
| 14 |
+
[](https://arxiv.org/abs/2405.20315)
|
| 15 |
[](./LICENSE)
|
| 16 |
|
| 17 |
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.
|
|
|
|
| 25 |
The models follow the conversation format of InternLM2-chat, with the template protocol as:
|
| 26 |
|
| 27 |
```python
|
| 28 |
+
dict(role='user', begin='<|im_start|>user
|
| 29 |
+
', end='<|im_end|>
|
| 30 |
+
'),
|
| 31 |
+
dict(role='assistant', begin='<|im_start|>assistant
|
| 32 |
+
', end='<|im_end|>
|
| 33 |
+
'),
|
| 34 |
```
|
| 35 |
|
| 36 |
## 🖊️ Citation
|
|
|
|
| 42 |
author={Ji, Ziwei and Gu, Yuzhe and Zhang, Wenwei and Lyu, Chengqi and Lin, Dahua and Chen, Kai},
|
| 43 |
journal={arXiv preprint arXiv:2405.20315},
|
| 44 |
year={2024}
|
| 45 |
+
}
|
| 46 |
+
```
|
| 47 |
+
|
| 48 |
+
Code: The source code for training and evaluating this model can be found at https://github.com/open-compass/ANAH
|