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@@ -349,38 +349,34 @@ <h2 id="confpapers">Selected Papers (<a href="https://scholar.google.com/citatio
             <div class="paper">
             <ul>
                 <li>
-                    <strong>FinQA: A Training-free Dynamic Knowledge Graph Question Answering System in Finance with LLM-based Revision</strong><br>
+                    FinQA: A Training-free Dynamic Knowledge Graph Question Answering System in Finance with LLM-based Revision<br>
                     Wenbiao Tao, Hanlun Zhu*, Keren Tan, Jiani Wang, Yuanyuan Liang, Huihui Jiang, Pengcheng Yuan, <strong>Yunshi Lan#</strong><br>
                     ECML PKDD, demo paper, 2024 <br>
                 </li>
             </ul>
 
-            <div>
-                <a href="sync-finqa.shuishan.net.cn/test">[Demonstration Page]</a>
-                <br>
-            </div>
-
-            <div><strong>Prompting Large Language Models with Chain-of-Thought for Few-Shot Knowledge Base Question Generation</strong><br>
+            <ul>
+                <li>Prompting Large Language Models with Chain-of-Thought for Few-Shot Knowledge Base Question Generation<br>
                 Yuanyuan Liang, Jianing Wang, Hanlun Zhu, Lei Wang, <strong>Yunshi Lan#</strong>, Weining Qian<br>
                 EMNLP, 2023 <br>
                 <a href="https://arxiv.org/pdf/2310.08395.pdf">[Paper]</a>
                 <a href="./resources/bibtex/emnlp2023_kbqg.txt">[BibTex]</a>
                 <br>
-            </div>
-            </div>
+                </li>
+            </ul>
 
-            <div class="paper">
-                <div><strong>Improving Zero-shot Visual Question Answering via Large Language Models with Reasoning Question Prompts</strong><br>
+            <ul>
+                <li>Improving Zero-shot Visual Question Answering via Large Language Models with Reasoning Question Prompts<br>
                     <strong>Yunshi Lan</strong>, Alex Xiang Li, Xin Liu, Yang Li, Wei Qin, Weining Qian<br>
                     ACM MM, 2023 <br>
                     <a href="http://arxiv.org/abs/2311.09050.pdf">[Paper]</a>
                     <a href="./resources/bibtex/mm2023_vqa.txt">[BibTex]</a>
                     <br>
-                </div>
-                <div class="spanner"></div>
-            </div>
-            <div class="paper">
-                <div><strong>Complex Knowledge Base Question Answering: A Survey</strong><br>
+                </li>
+            </ul>
+
+            <ul>
+                <li>Complex Knowledge Base Question Answering: A Survey<br>
                     <strong>Yunshi Lan</strong>, Gaole He*, Jinhao Jiang, Jing Jiang, Wayne Xin Zhao and Ji-Rong Wen<br>
                     TKDE, 2022 <br>
                     <a href="https://arxiv.org/pdf/2108.06688.pdf">[Paper]</a>
@@ -388,54 +384,53 @@ <h2 id="confpapers">Selected Papers (<a href="https://scholar.google.com/citatio
                     <a href="https://github.com/RUCAIBox/Awesome-KBQA">[GitHub Page]</a>
                     <a href="./resources/bibtex/tkde2022_survey.txt">[BibTex]</a>
                     <br>
-                </div>
-                <div class="spanner"></div>
-            </div>
-            <div class="paper">
-                <div><strong>Modeling Transitions of Focal Entities for Conversational knowledge Base Question Answering</strong><br>
+                </li>
+            </ul>
+
+            <ul>
+                <li>Modeling Transitions of Focal Entities for Conversational knowledge Base Question Answering<br>
                     <strong>Yunshi Lan</strong>, Jing Jiang<br>
                     ACL, 2021 <br>
                     <a href="https://aclanthology.org/2021.acl-long.255.pdf">[Paper]</a>
                     <a href="./resources/bibtex/acl2021_ckbqa.txt">[BibTex]</a>
                     <br>
-                </div>
-                <div class="spanner"></div>
-            </div>
-            <div class="paper">
-                <div><strong>Improving Multi-hop Knowledge Base Question Answering by Learning Intermediate Supervision Signals</strong><br>
+                </li>
+            </ul>
+
+            <ul>
+                <li>Improving Multi-hop Knowledge Base Question Answering by Learning Intermediate Supervision Signals<br>
                     Gaole He, <strong>Yunshi Lan</strong>, Jing Jiang, Xin Zhao, Ji-Rong Wen<br>
                     WSDM, 2021 <br>
                     <a href="https://arxiv.org/pdf/2101.03737.pdf">[Paper]</a>
                     <a href="https://github.com/RichardHGL/WSDM2021_NSM">[GitHub Page]</a>
                     <a href="./resources/bibtex/wsdm2021_ckbqa.txt">[BibTex]</a>
                     <br>
-                </div>
-                <div class="spanner"></div>
-            </div>
-            <div class="paper">
-                <div><strong>Query Graph Generation for Answering Multi-hop Complex Questions from Knowledge Bases</strong><br>
+                </li>
+            </ul>
+
+            <ul>
+                <li>Query Graph Generation for Answering Multi-hop Complex Questions from Knowledge Bases<br>
                     <strong>Yunshi Lan</strong>, Jing Jiang<br>
                     ACL, 2020 <br>
                     <a href="https://aclanthology.org/2020.acl-main.91.pdf">[Paper]</a>
                     <a href="https://github.com/lanyunshi/Multi-hopComplexKBQA">[GitHub Page]</a>
                     <a href="./resources/bibtex/acl2020_ckbqa.txt">[BibTex]</a>
                     <br>
-                </div>
-                <div class="spanner"></div>
-            </div>
+                </li>
+            </ul>
 
-            <div class="paper">
-                <div><strong>Survey of Natural Language Processing for Education: Taxonomy, Systematic Review, and Future Trends</strong><br>
+            <ul>
+                <li>Survey of Natural Language Processing for Education: Taxonomy, Systematic Review, and Future Trends<br>
                     <strong>Yunshi Lan</strong>, Xinyuan Li, Hanyue Du, Xuesong Lu, Ming Gao, Weining Qian, Aoying Zhou<br>
                     Preprint, 2024
                     <a href="http://arxiv.org/abs/2401.07518">[Paper]</a>
                     <a href="https://github.com/LiXinyuan1015/NLP-for-Education/invitations">[GitHub Page]</a>
                     <br>
-                </div>
-                <div class="spanner"></div>
-            </div>
-            <div class="paper">
-                <div><strong>MWPToolkit: An Open-Source Framework for Deep Learning-Based Math Word Problem Solvers</strong><br>
+                </li>
+            </ul>
+
+            <ul>
+                <li>MWPToolkit: An Open-Source Framework for Deep Learning-Based Math Word Problem Solvers<br>
                     Yihuai Lan, Lei Wang, Qiyuan Zhang, <strong>Yunshi Lan#</strong>, Bing Tian Dai, Yan Wang, Dongxiang Zhang, Ee-Peng Lim<br>
                     AAAI, demo paper, 2022 <br>
                     <a href="https://arxiv.org/pdf/2109.00799.pdf">[Paper]</a>
@@ -443,11 +438,11 @@ <h2 id="confpapers">Selected Papers (<a href="https://scholar.google.com/citatio
                     <a href="https://github.com/LYH-YF/MWPToolkit">[GitHub Page]</a>
                     <a href="./resources/bibtex/aaai2022_demo.txt">[BibTex]</a>
                     <br>
-                </div>
-                <div class="spanner"></div>
-            </div>
-            <div class="paper">
-                <div><strong>Towards Robust Chinese Spelling Check Systems: Multi-round Error Correction with Ensemble Enhancement</strong><br>
+                </li>
+            </ul>
+
+            <ul>
+                <li>Towards Robust Chinese Spelling Check Systems: Multi-round Error Correction with Ensemble Enhancement<br>
                     Alex Xiang Li, Hanyue Du, Yike Zhao, <strong>Yunshi Lan#</strong><br>
                     NLPCC, evaluation paper, 2023 <br>
                     <a href="https://drive.google.com/file/d/1DZOZfUwnaTmQrpv7TUgDgtX0Ga6cdvbB/view">[Paper]</a>
@@ -455,29 +450,29 @@ <h2 id="confpapers">Selected Papers (<a href="https://scholar.google.com/citatio
                     <a href="https://github.com/Arvid-pku/NLPCC2023_Shared_Task8/tree/main">[Leaderboard]</a>
                     <a href="./resources/bibtex/nlpcc2023_csc.txt">[BibTex]</a>
                     <br>
-                </div>
-                <div class="spanner"></div>
-            </div>
-            <div class="paper">
-                <div><strong>FlaCGEC: A Chinese Grammatical Error Correction Dataset with Fine-grained Linguistic Annotation</strong><br>
+                </li>
+            </ul>
+
+            <ul>
+                <li>FlaCGEC: A Chinese Grammatical Error Correction Dataset with Fine-grained Linguistic Annotation<br>
                     Hanyue Du, Yike Zhao, Qingyuan Tian, Jiani Wang, Lei Wang, <strong>Yunshi Lan#</strong>, Xuesong Lu<br>
                     ACM CIKM, resource paper, 2023 <br>
                     <a href="https://dl.acm.org/doi/pdf/10.1145/3583780.3615119">[Paper]</a>
                     <a href="./resources/bibtex/cikm2023_cgec.txt">[BibTex]</a>
                     <a href="https://github.com/hyDududu/FlaCGEC">[GitHub Page]</a>
                     <br>
-                </div>
-                <div class="spanner"></div>
-            </div>
-            <div class="paper">
-                <div><strong>An LLM-Enhanced Adversarial Editing System for Lexical Simplification</strong><br>
+                </li>
+            </ul>
+
+            <ul>
+                <li>An LLM-Enhanced Adversarial Editing System for Lexical Simplification<br>
                     Keren Tan, Kangyang Luo, <strong>Yunshi Lan#</strong>, Zheng Yuan and Jinlong Shu<br>
                     COLING, 2024 <br>
                     <a href="https://arxiv.org/abs/2402.14704">[Paper]</a>
                     <br>
-                </div>
-                <div class="spanner"></div>
-            </div>
+                </li>
+            </ul>
+
         </div>
     </div>
     <br>