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alanakbik · Mar 21, 2024 · 96cd3ff · 96cd3ff
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@@ -78,6 +78,10 @@ <h4>Latest News</h4>
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+                    <li>
+                        <b>21.03.2024 - Paper accepted (NAACL 2024):</b> Our demo paper "<a href="https://arxiv.org/pdf/2309.03876.pdf" target="_blank">OpinionGPT: Modelling Explicit Biases in Instruction-Tuned LLMs</a>" accepted to NAACL 2024! Also check out our <a href="https://opiniongpt.informatik.hu-berlin.de/" target="_blank"><b>OpinionGPT</b></a> demo!
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 		    <li>
                         <b>13.03.2024 - Paper accepted (NAACL 2024):</b> Our paper "BEAR: A Unified Framework for Evaluating Relational Knowledge in Causal and Masked Language Models" accepted to NAACL 2024!
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@@ -109,24 +113,6 @@ <h4>Latest News</h4>
 		    <li>
                         <b>08.10.2023 - Paper accepted (EMNLP 2023):</b> Full paper on <a href="papers/CleanCoNLL.pdf" target="_blank">CleanCoNLL: A Nearly Noise-Free Named Entity Recognition Dataset</a> accepted to EMNLP 2023!
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-                        <b>30.09.2023 - Paper accepted (EMNLP 2023):</b> Demo paper on dataset generation with LLMs accepted to EMNLP 2023!
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-                        <b>08.09.2023 - New release and paper:</b> We release v2 of <a href="https://opiniongpt.informatik.hu-berlin.de/" target="_blank"><b>OpinionGPT</b></a> to model explicit biases in intruction-tuned LLMs. Post a question and select a bias in our <a href="https://opiniongpt.informatik.hu-berlin.de/" target="_blank">web demo</a> to get a biased answer! More details in our <a href="https://arxiv.org/pdf/2309.03876.pdf" target="_blank">paper</a>! 
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-                        <b>10.07.2023 - Award (ACL 2023):</b> Our group wins <a href="https://2023.aclweb.org/program/best_reviewers/" target="_blank">Oustanding Reviewer Award</a> at ACL 2023! 
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-                    <li>
-                        <b>11.05.2023 - New release:</b> Our German-langauge <a href="https://opiniongpt.informatik.hu-berlin.de/" target="_blank"><b>OpinionGPT</b></a> now available as web demo!
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-                        <b>05.05.2023 - Award (EACL 2023):</b> Our paper "<a href="https://aclanthology.org/2023.eacl-main.151.pdf" target="_blank">ZELDA: A Comprehensive Benchmark for Supervised Entity Disambiguation</a> " wins <b>Outstanding Paper Award</b> at EACL 2023! 
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diff --git a/publications.html b/publications.html
@@ -53,6 +53,13 @@ <h2>Publications</h2>
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                 <h4>Latest Publications (since 2024)</h4>
 
+                <p>
+                    <b>OpinionGPT: Modelling Explicit Biases in Instruction-Tuned LLMs. </b>
+                    Patrick Haller, Ansar Aynetdinov and Alan Akbik.
+                    <b><font color="#336699"> 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics: System Demonstrations, NAACL 2024. </font></b><a href="https://arxiv.org/pdf/2309.03876.pdf">[pdf]</a>
+                </p>
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                 <p>
                     <b>BEAR: A Unified Framework for Evaluating Relational Knowledge in Causal and Masked Language Models. </b>
                     Jacek Wiland, Max Ploner and Alan Akbik.