New paper

alanakbik · Jun 4, 2024 · 3964f5b · 3964f5b
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@@ -77,6 +77,10 @@ <h2>Welcome!</h2>
                 <h4>Latest News</h4>
                 <p>
                 <ul>
+		    <li>
+                        <b>04.06.2024 - Paper accepted (ACL 2024):</b> Our demo paper "Fundus: A Simple-to-Use News Scraper Optimized for High Quality Extractions" accepted to ACL 2024!
+                    </li>
+
 		    <li>
                         <b>16.05.2024 - Paper accepted (ACL 2024):</b> Our paper "Choose Your Transformer: Improved Transferability Estimation of Transformer Models on Classification Tasks" accepted to ACL 2024!
                     </li>
@@ -129,6 +133,12 @@ <h4>Latest News</h4>
                 <hr/>
                 <h4>Latest Publications (since 2024)</h4>
 
+                <p>
+                    <b>Fundus: A Simple-to-Use News Scraper Optimized for High Quality Extractions. </b>
+                    Max Dallabetta, Conrad Dobberstein, Adrian Breiding and Alan Akbik.
+                    <b><font color="#336699"> The 62nd Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2024. </font></b><a href="https://arxiv.org/pdf/2403.15279.pdf">[pdf]</a>
+                </p>
+
 		<p>
                     <b>Choose Your Transformer: Improved Transferability Estimation of Transformer Models on Classification Tasks. </b>
                     Lukas Garbaciauskas, Max Ploner and Alan Akbik.
@@ -141,12 +151,6 @@ <h4>Latest Publications (since 2024)</h4>
                     <b><font color="#336699"> ArXiv, 2024. </font></b><a href="https://arxiv.org/abs/2405.07609">[pdf]</a>
                 </p>
 
-                <p>
-                    <b>Fundus: A Simple-to-Use News Scraper Optimized for High Quality Extractions. </b>
-                    Max Dallabetta, Conrad Dobberstein, Adrian Breiding and Alan Akbik.
-                    <b><font color="#336699"> ArXiv, 2024. </font></b><a href="https://arxiv.org/pdf/2403.15279.pdf">[pdf]</a>
-                </p>
-
                 <p>
                     <b>OpinionGPT: Modelling Explicit Biases in Instruction-Tuned LLMs. </b>
                     Patrick Haller, Ansar Aynetdinov and Alan Akbik.

diff --git a/publications.html b/publications.html
@@ -53,6 +53,12 @@ <h2>Publications</h2>
                 <hr/>
                 <h4>Latest Publications (since 2024)</h4>
 
+                <p>
+                    <b>Fundus: A Simple-to-Use News Scraper Optimized for High Quality Extractions. </b>
+                    Max Dallabetta, Conrad Dobberstein, Adrian Breiding and Alan Akbik.
+                    <b><font color="#336699"> The 62nd Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2024. </font></b><a href="https://arxiv.org/pdf/2403.15279.pdf">[pdf]</a>
+                </p>
+
 		<p>
                     <b>Choose Your Transformer: Improved Transferability Estimation of Transformer Models on Classification Tasks. </b>
                     Lukas Garbaciauskas, Max Ploner and Alan Akbik.
@@ -65,12 +71,6 @@ <h4>Latest Publications (since 2024)</h4>
                     <b><font color="#336699"> ArXiv, 2024. </font></b><a href="https://arxiv.org/abs/2405.07609">[pdf]</a>
                 </p>
 
-                <p>
-                    <b>Fundus: A Simple-to-Use News Scraper Optimized for High Quality Extractions. </b>
-                    Max Dallabetta, Conrad Dobberstein, Adrian Breiding and Alan Akbik.
-                    <b><font color="#336699"> ArXiv, 2024. </font></b><a href="https://arxiv.org/pdf/2403.15279.pdf">[pdf]</a>
-                </p>
-
                 <p>
                     <b>OpinionGPT: Modelling Explicit Biases in Instruction-Tuned LLMs. </b>
                     Patrick Haller, Ansar Aynetdinov and Alan Akbik.