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zhangshaolei1998 committed May 23, 2024
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<title>Academic Project Page</title>
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<body>


<section class="hero">
<div class="hero-body">
<div class="container is-max-desktop">
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<h1 class="title is-1 publication-title">Academic Project Page</h1>
<div class="is-size-5 publication-authors">
<!-- Paper authors -->
<span class="author-block">
<a href="FIRST AUTHOR PERSONAL LINK" target="_blank">First Author</a><sup>*</sup>,</span>
<span class="author-block">
<a href="SECOND AUTHOR PERSONAL LINK" target="_blank">Second Author</a><sup>*</sup>,</span>
<section class="hero">
<div class="hero-body">
<div class="container is-max-desktop">
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<h1 class="title is-1 publication-title">TruthX: Alleviating Hallucinations by Editing Large Language Models in Truthful Space</h1>
<div class="is-size-5 publication-authors">
<!-- Paper authors -->
<span class="author-block">
<a href="THIRD AUTHOR PERSONAL LINK" target="_blank">Third Author</a>
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<span class="author-block">Institution Name<br>Conferance name and year</span>
<span class="eql-cntrb"><small><br><sup>*</sup>Indicates Equal Contribution</small></span>
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<!-- Arxiv PDF link -->
<a href="https://zhangshaolei1998.github.io/" target="_blank">Shaolei Zhang</a><sup>1,2</sup>,</span>
<span class="author-block">
<a href="https://tianyu0313.github.io/" target="_blank">Tian Yu</a><sup>1,2</sup>,</span>
<span class="author-block">
<a href="https://people.ucas.edu.cn/~yangfeng?language=en" target="_blank">Yang Feng</a><sup>1,2,*</sup>
</span>
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<div class="is-size-5 publication-authors">
<span class="author-block"><sup>1</sup>Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences (ICT/CAS)<br><sup>2</sup>University of Chinese Academy of Sciences<br><font color="red">ACL 2024 Main Conference</font></span>
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<a href="https://arxiv.org/pdf/2402.17811" target="_blank"
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<span>Paper</span>
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<a href="https://arxiv.org/pdf/<ARXIV PAPER ID>.pdf" target="_blank"
<a href="https://github.com/ictnlp/TruthX" target="_blank"
class="external-link button is-normal is-rounded is-dark">
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<a href="https://github.com/YOUR REPO HERE" target="_blank"
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<a href="https://github.com/ictnlp/TruthX" target="_blank"
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🤗
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<span>Model</span>
</a>
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<span>Code</span>
</a>
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<a href="https://arxiv.org/abs/<ARXIV PAPER ID>" target="_blank"
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<span>arXiv</span>
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Aliquam vitae elit ullamcorper tellus egestas pellentesque. Ut lacus tellus, maximus vel lectus at, placerat pretium mi. Maecenas dignissim tincidunt vestibulum. Sed consequat hendrerit nisl ut maximus.
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<h2 class="title is-3">Abstract</h2>
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<div class="publication-video">
<!-- Youtube embed code here -->
<iframe src="https://www.youtube.com/embed/JkaxUblCGz0" frameborder="0" allow="autoplay; encrypted-media" allowfullscreen></iframe>
<h2 class="title is-3">Abstract</h2>
<div class="content has-text-justified">
<p>
Large Language Models (LLMs) have demonstrated remarkable capabilities across various tasks. However, they sometimes suffer from producing hallucinations, particularly in cases where they may generate untruthful responses despite possessing the correct knowledge. In this paper, we propose TruthX, an inferencetime method to elicit the truthfulness of LLMs by editing their internal representations in truthful space. TruthX employs an auto-encoder to map LLM’s representations into semantic and truthful latent spaces respectively, and applies contrastive learning to identify a truthful editing direction within the truthful space. During inference, by editing LLM’s internal representations in truthful space, TruthX effectively enhances the truthfulness of LLMs. Experiments show that TruthX effectively improves the truthfulness of 13 advanced LLMs by an average of 20% on TruthfulQA benchmark. Further analyses suggest that the truthful space acquired by TruthX plays a pivotal role in controlling LLM to produce truthful or hallucinatory responses.
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<video poster="" id="video1" autoplay controls muted loop height="100%">
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<source src="static/videos/carousel1.mp4"
type="video/mp4">
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</section>
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<!-- Paper poster -->
<section class="hero is-small is-light">
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<h2 class="title">Poster</h2>

<iframe src="static/pdfs/sample.pdf" width="100%" height="550">
</iframe>

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</section>
<!--End paper poster -->
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<!--BibTex citation -->
<section class="section" id="BibTeX">
<section class="section" id="BibTeX">
<div class="container is-max-desktop content">
<h2 class="title">BibTeX</h2>
<pre><code>BibTex Code Here</code></pre>
<p>
If you have any questions, please contact <a href="https://zhangshaolei1998.github.io/" target="_blank">Shaolei Zhang</a> ([email protected]).
</p>
<pre><code>@inproceedings{truthx,
title={TruthX: Alleviating Hallucinations by Editing Large Language Models in Truthful Space},
author={Shaolei Zhang and Tian Yu and Yang Feng},
year={2024},
url={https://arxiv.org/abs/2402.17811}
booktitle = {Proceedings of the 62th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
year = {2024},
publisher = {Association for Computational Linguistics},
}</code></pre>
</div>
</section>
<!--End BibTex citation -->
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<div class="columns is-centered">
<div class="column is-8">
<div class="content">

<center>
<a href="https://clustrmaps.com/site/1bzsa" title="Visit tracker"><img src="//www.clustrmaps.com/map_v2.png?d=9r6k3JPZpaKXYdcWC-YLJT7Y5284UBethRZiIirC5mI&cl=ffffff"></a>
<p>
This page was built using the <a href="https://github.com/eliahuhorwitz/Academic-project-page-template" target="_blank">Academic Project Page Template</a> which was adopted from the <a href="https://nerfies.github.io" target="_blank">Nerfies</a> project page.
You are free to borrow the of this website, we just ask that you link back to this page in the footer. <br> This website is licensed under a <a rel="license" href="http://creativecommons.org/licenses/by-sa/4.0/" target="_blank">Creative
Commons Attribution-ShareAlike 4.0 International License</a>.
TruthX: Alleviating Hallucinations by Editing Large Language Models in Truthful Space (ACL 2024)
</p>
</center>

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