---
license: gpl-3.0
---

# TruthX: Alleviating Hallucinations by Editing Large Language Models in Truthful Space

[Shaolei Zhang](), Tian Yu, Yang Feng*


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, TruthX yields an average enhancement of 20% in truthfulness across various LLMs.

This repository provides TruthX models trained on a variety of LLMs:
- Llama-1-7B, Alpaca-7B
- Llama-2-7B, Llama-2-7B-Chat, Vicuna-7B-v1.5
- Mistral-7B-v0.1, Mistral-7B-Instruct-v0.1, Mistral-7B-Instruct-v0.2
- Baichuan2-7B-Base, Baichuan2-7B-Chat
- Chatglm3-6B-Base, Chatglm3-6B

Please refer to [GitHub repo](https://github.com/ictnlp/TruthX) for specific usage scripts.