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@@ -128,7 +128,7 @@ <h2 style="font-family: Philosopher, sans-serif; font-size: small;">Regular PC o
             	<h2 id="news" style="font-family: Philosopher, sans-serif;">News</h2>
 
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-    <li><strong>April 2024:</strong> Looking for a recent survey on Generative Models, LLMs/FMS in Recommender Systems? Check this new survey <a href="https://arxiv.org/abs/2404.00579" style="color:blue;">&#9733;"A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys)"&#9733;</a>.</li>
+    <li><strong>April 2024:</strong> Looking for a recent survey on Generative Models, LLMs/FMS in Recommender Systems? Check this new survey <a href="https://arxiv.org/abs/2404.00579" style="color:red;">&#9733;"A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys)"&#9733;</a>.</li>
     <li><strong>Jan 2024:</strong> Check out a brand-new paper on the <a href="https://arxiv.org/abs/2401.10545" style="color:blue;">&#9733;"Understanding Biases in ChatGPT-based Recommender Systems: Provider Fairness, Temporal Stability, and Recency"&#9733;</a> (under review).</li>
     <li><strong>Jan 2024:</strong> Our paper on <strong style="color:green;"> <a href="https://browse.arxiv.org/abs/2402.00485">"A Personalized Framework for Consumer and Producer Group Fairness Optimization"</a> </strong> is accepted to ACM Transaction on Recommender Systems (TORS).</li>
     <li><strong>Dec'23-Jan'24:</strong> Four literature reviews accepted on different areas of recommender systems and QA: