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#robustnessagainstpersuasion

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Institute for AI<p>How easy is to persuade a large language model?</p><p>The Interchange Forum for Reflecting on<br>Intelligent Systems (IRIS <span class="h-card" translate="no"><a href="https://xn--baw-joa.social/@Stuttgart_IRIS" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>Stuttgart_IRIS</span></a></span> <span class="h-card" translate="no"><a href="https://xn--baw-joa.social/@Uni_Stuttgart" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>Uni_Stuttgart</span></a></span>) invites all interested students and university staff to their next IRIS colloquium on March 26 at 2 PM in the room UN 302.101, where Mara Seyfert will talk about uncertainty and robustness against persuasion in large language models.</p><p><a href="https://xn--baw-joa.social/tags/LargeLanguageModels" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LargeLanguageModels</span></a> <a href="https://xn--baw-joa.social/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://xn--baw-joa.social/tags/GPT" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GPT</span></a> <a href="https://xn--baw-joa.social/tags/GPT4" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GPT4</span></a> <a href="https://xn--baw-joa.social/tags/RobustnessAgainstPersuasion" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>RobustnessAgainstPersuasion</span></a> <a href="https://xn--baw-joa.social/tags/AIResearch" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AIResearch</span></a> <a href="https://xn--baw-joa.social/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MachineLearning</span></a> <a href="https://xn--baw-joa.social/tags/LLMs" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LLMs</span></a> <a href="https://xn--baw-joa.social/tags/ArtificialIntelligence" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ArtificialIntelligence</span></a> <a href="https://xn--baw-joa.social/tags/TechTalk" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>TechTalk</span></a> <a href="https://xn--baw-joa.social/tags/RobustAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>RobustAI</span></a> <a href="https://xn--baw-joa.social/tags/DataScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataScience</span></a> <a href="https://xn--baw-joa.social/tags/AIethics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AIethics</span></a> <a href="https://xn--baw-joa.social/tags/Innovation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Innovation</span></a></p>
Uni Stuttgart IRIS<p>We cordially invite all interested parties at the Universität Stuttgart to our IRIS Colloquium on March 26, at 2 p.m., in Room 101 at Universitätsstr. 32.<br>🟦 <br>Mara Seyfert will give her lecture, „Uncertainty and robustness against persuasion in large language models.“<br>🟦 <br>Today's large language models (LLMs) excel at providing convincing answers across a broad spectrum of inquiries, with their conversational capabilities enabling them to closely align with users' needs. However, this adaptability is beneficial only to the extent as models remain robust to adopting wrong statements from user inputs.<br> 🟦 <br>Recent research demonstrates that even advanced models like GPT-4 can shift from initially correct answers to incorrect ones during multi-turn conversations solely due to user input. In my talk, I will present my research exploring how uncertainty in LLMs can provide insights into their robustness against persuasion while highlighting the specific challenges of quantifying uncertainty in these models. <br> 🟦 <br>The lecture is held in English. Registration is not necessary.<br>🟦 <br><a href="https://xn--baw-joa.social/tags/LargeLanguageModels" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LargeLanguageModels</span></a> <a href="https://xn--baw-joa.social/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://xn--baw-joa.social/tags/GPT" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GPT</span></a> <a href="https://xn--baw-joa.social/tags/GPT4" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GPT4</span></a> <a href="https://xn--baw-joa.social/tags/robustnessagainstpersuasion" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>robustnessagainstpersuasion</span></a> <a href="https://xn--baw-joa.social/tags/AIResearch" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AIResearch</span></a> <a href="https://xn--baw-joa.social/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MachineLearning</span></a> <a href="https://xn--baw-joa.social/tags/LLMs" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LLMs</span></a> <a href="https://xn--baw-joa.social/tags/ArtificialIntelligence" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ArtificialIntelligence</span></a> <a href="https://xn--baw-joa.social/tags/TechTalk" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>TechTalk</span></a> <a href="https://xn--baw-joa.social/tags/RobustAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>RobustAI</span></a> <a href="https://xn--baw-joa.social/tags/DataScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataScience</span></a> <a href="https://xn--baw-joa.social/tags/AIethics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AIethics</span></a> <a href="https://xn--baw-joa.social/tags/Innovation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Innovation</span></a></p>