update

Author: WangHanLinHenry

home.html

@@ -34,6 +34,7 @@ <h2>Overview</h2>
         </div>
         <div class="news-container">
             <h2>Latest News:</h2>
+            <p><b>[April 3, 2026]</b> Congratulations to Hongru! His work on "One Adapts to Any: Meta Reward Modeling for Personalized LLM Alignment" was accepted by SIGIR 2026.</p>
             <p><b>[September 19, 2025]</b> This is truly amazing! Our group has three papers accepted for NeurIPS2025. Congratulations to Yang Xiao and Xin Zhang! It is also impressive that Runyang You, who just enrolls in September, also has a paper accepted. Fantastic!.</p>
             <p><b>[August 21, 2025]</b> Congratulations to Heming Xia and Kaishuai Xu for their papers accepted into EMNLP2025.</p>
             <p><b>[August 17, 2025]</b> Congratulations to Xin Zhang! His work on "Phased Training for LLM-powered Text Retrieval Models Beyond Data Scaling" was accepted by COLM2025.</p>

index.html

@@ -34,6 +34,7 @@ <h2>Overview</h2>
         </div>
         <div class="news-container">
             <h2>Latest News:</h2>
+            <p><b>[April 3, 2026]</b> Congratulations to Hongru! His work on "One Adapts to Any: Meta Reward Modeling for Personalized LLM Alignment" was accepted by SIGIR 2026.</p>
             <p><b>[September 19, 2025]</b> This is truly amazing! Our group has three papers accepted for NeurIPS2025. Congratulations to Yang Xiao and Xin Zhang! It is also impressive that Runyang You, who just enrolls in September, also has a paper accepted. Fantastic!.</p>
             <p><b>[August 21, 2025]</b> Congratulations to Heming Xia and Kaishuai Xu for their papers accepted into EMNLP2025.</p>
             <p><b>[August 17, 2025]</b> Congratulations to Xin Zhang! His work on "Phased Training for LLM-powered Text Retrieval Models Beyond Data Scaling" was accepted by COLM2025.</p>

publications.html

@@ -30,6 +30,15 @@ <h2>Publications</h2>
         <div class="publications">
             <h2>2025</h2>
 
+            <div class="publication-item">
+                <div class="publication-bullet">
+                    <span class="tag_conference">Conference</span><span><b><a class="text-link" href="https://arxiv.org/abs/2601.18731" target="_blank">One Adapts to Any: Meta Reward Modeling for Personalized LLM Alignment
+                    </a></b></span>
+                </div>
+                <p><em>Hongru Cai, Yongqi Li, Tiezheng Yu, Fengbin Zhu, Wenjie Wang, Fuli Feng, <b>Wenjie Li</b>.</em></p>
+                <p>The 49th International ACM SIGIR Conference on Research and Development in the Information Retrieval (SIGIR'2026).</p>
+            </div>
+
             <div class="publication-item">
                 <div class="publication-bullet">
                     <span class="tag_conference">Conference</span><span><b><a class="text-link" href="https://arxiv.org/abs/2505.19187" target="_blank">LIMOPro: Reasoning Refinement for Efficient and Effective Test-time Scaling</a></b></span>