update

README.md

@@ -3,7 +3,10 @@ license: gpl-3.0
 ---
 # TruthX: Alleviating Hallucinations by Editing Large Language Models in Truthful Space
 
-> [Shaolei Zhang](https://zhangshaolei1998.github.io/), Tian Yu, [Yang Feng](https://people.ucas.edu.cn/~yangfeng?language=en)*
+> [Shaolei Zhang](https://zhangshaolei1998.github.io/), [Tian Yu](https://tianyu0313.github.io/), [Yang Feng](https://people.ucas.edu.cn/~yangfeng?language=en)*
+
+Model for paper "[TruthX: Alleviating Hallucinations by Editing Large Language Models in Truthful Space](https://arxiv.org/pdf/2402.17811.pdf)".
+
 
 **TruthX** is an inference-time method to elicit the truthfulness of LLMs by editing their internal representations in truthful space, thereby mitigating the hallucinations of LLMs. On the [TruthfulQA benchmark](https://paperswithcode.com/sota/question-answering-on-truthfulqa), TruthX yields an average **enhancement of 20% in truthfulness** across 13 advanced LLMs.
 
@@ -34,4 +37,26 @@ outputs_text = tokenizer.decode(outputs, skip_special_tokens=True).strip()
 print(outputs_text)
 ```
 
-Please refer to [GitHub repo](https://github.com/ictnlp/TruthX) and our paper for more details.
+
+Please refer to [GitHub repo](https://github.com/ictnlp/TruthX) and [our paper](https://arxiv.org/pdf/2402.17811.pdf) for more details.
+
+## Licence
+Model weights and the inference code are released under The GNU General Public License v3.0 (GPLv3)
+
+## Citation
+
+If this repository is useful for you, please cite as:
+
+```
+@misc{zhang2024truthx,
+      title={TruthX: Alleviating Hallucinations by Editing Large Language Models in Truthful Space}, 
+      author={Shaolei Zhang and Tian Yu and Yang Feng},
+      year={2024},
+      eprint={2402.17811},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2402.17811}
+}
+```
+
+If you have any questions, feel free to contact `[email protected]`.