Update publication list

Author: hyeondo-jang

publications.html

@@ -288,15 +288,8 @@
     </header>
 
     <main>
-        <!-- ===== 2026 ===== -->
-        <div class="year-divider">2026</div>
-
-        <div class="paper">
-            <div class="paper-title">Quantifying Aleatoric Uncertainty of In-Context Learning for Robust Measure of LLM Prediction Confidence</div>
-            <div class="paper-authors">Jinseok Chung, Minkyoung Song*, Hyunji Jung*, Namhoon Lee</div>
-            <div class="paper-venue">ACL 2026</div>
-            <!-- <div class="paper-links"><a href="https://arxiv.org/abs/2602.18181v1" target="_blank">arxiv</a></div> -->
-        </div>
+        <!-- ===== Preprint ===== -->
+        <div class="year-divider">Preprint</div>
 
         <div class="paper">
             <div class="paper-title">SeedFlood: A Step Toward Scalable Decentralized Training of LLMs</div>
@@ -312,6 +305,16 @@
             <div class="paper-links"><a href="https://www.arxiv.org/abs/2602.03515" target="_blank">arxiv</a></div>
         </div>
 
+        <!-- ===== 2026 ===== -->
+        <div class="year-divider">2026</div>
+
+        <div class="paper">
+            <div class="paper-title">Quantifying Aleatoric Uncertainty of In-Context Learning for Robust Measure of LLM Prediction Confidence</div>
+            <div class="paper-authors">Jinseok Chung, Minkyoung Song*, Hyunji Jung*, Namhoon Lee</div>
+            <div class="paper-venue">ACL 2026</div>
+            <!-- <div class="paper-links"><a href="https://arxiv.org/abs/2602.18181v1" target="_blank">arxiv</a></div> -->
+        </div>
+
         <div class="paper">
             <div class="paper-title">The Unseen Frontier: Pushing the Limits of LLM Sparsity with Surrogate-Free ADMM</div>
             <div class="paper-authors">Kwanhee Lee, Hyeondo Jang, Dongyeop Lee, Dan Alistarh, Namhoon Lee</div>
@@ -364,6 +367,13 @@
             <div class="paper-links"><a href="https://arxiv.org/abs/2504.06838" target="_blank">arxiv</a><a href="https://github.com/LOG-postech/ZIP" target="_blank">code</a></div>
         </div>
 
+        <div class="paper">
+            <div class="paper-title">Convergence and Implicit Bias of Gradient Descent on Continual Linear Classification</div>
+            <div class="paper-authors">Hyunji Jung, Hanseul Cho, Chulhee Yun</div>
+            <div class="paper-venue">ICLR 2025</div>
+            <div class="paper-links"><a href="https://arxiv.org/abs/2504.12712" target="_blank">arxiv</a></div>
+        </div>
+
         <!-- ===== 2024 ===== -->
         <div class="year-divider">2024</div>
 
@@ -457,13 +467,6 @@
             <div class="paper-links"><a href="https://sites.google.com/view/sedl-workshop" target="_blank">paper</a></div>
         </div>
 
-        <div class="paper">
-            <div class="paper-title">Toward Efficient Deep Learning with Sparse Neural Networks</div>
-            <div class="paper-authors">Namhoon Lee</div>
-            <div class="paper-venue">Ph.D. Thesis, University of Oxford</div>
-            <div class="paper-links"><a href="https://ora.ox.ac.uk/objects/uuid:000e9d44-0229-48a3-84b0-dc17a8e96ccf" target="_blank">paper</a></div>
-        </div>
-
         <div class="paper">
             <div class="paper-title">A Signal Propagation Perspective for Pruning Neural Networks at Initialization</div>
             <div class="paper-authors">Namhoon Lee, Thalaiyasingam Ajanthan, Stephen Gould, Philip H. S. Torr</div>
@@ -520,12 +523,6 @@
             <div class="paper-links"><a href="https://namhoonlee.github.io/doc/LK_WACV2016.pdf" target="_blank">paper</a></div>
         </div>
 
-        <div class="paper">
-            <div class="paper-title">Modeling of Dynamic Environments for Visual Forecasting of American Football Plays</div>
-            <div class="paper-authors">Namhoon Lee (committee: Kris M. Kitani, Martial Hebert, Sebastian Scherer)</div>
-            <div class="paper-venue">M.S. Thesis, Carnegie Mellon University, Dec 2015</div>
-            <div class="paper-links"><a href="https://namhoonlee.github.io/doc/namhoonlee_msthesis2015_final.pdf" target="_blank">paper</a></div>
-        </div>
     </main>
 
     <footer>