Restore titles

data/xml/2024.findings.xml

@@ -4656,6 +4656,7 @@
       <doi>10.18653/v1/2024.findings-naacl.204</doi>
     </paper>
     <paper id="205">
+      <title>C<tex-math>^{3}</tex-math><fixed-case>LPGCN</fixed-case>:Integrating Contrastive Learning and Cooperative Learning with Prompt into Graph Convolutional Network for Aspect-based Sentiment Analysis</title>
       <author><first>Ye</first><last>He</last><affiliation>Chongqing University of Technology</affiliation></author>
       <author><first>Shihao</first><last>Zou</last><affiliation>Chongqing University of Technology</affiliation></author>
       <author><first>YuzheChen</first><last>YuzheChen</last></author>
@@ -8657,6 +8658,7 @@
       <doi>10.18653/v1/2024.findings-acl.202</doi>
     </paper>
     <paper id="203">
+      <title><tex-math>\texttt{DARA}</tex-math>: Decomposition-Alignment-Reasoning Autonomous Language Agent for Question Answering over Knowledge Graphs</title>
       <author><first>Haishuo</first><last>Fang</last><affiliation>Technische Universität Darmstadt</affiliation></author>
       <author><first>Xiaodan</first><last>Zhu</last><affiliation>Queen’s University</affiliation></author>
       <author><first>Iryna</first><last>Gurevych</last><affiliation>Mohamed bin Zayed University of Artificial Intelligence and Technical University of Darmstadt</affiliation></author>
@@ -10424,6 +10426,7 @@
       <doi>10.18653/v1/2024.findings-acl.331</doi>
     </paper>
     <paper id="332">
+      <title><tex-math>\textit{GeoHard}</tex-math>: Towards Measuring Class-wise Hardness through Modelling Class Semantics</title>
       <author><first>Fengyu</first><last>Cai</last><affiliation>Technische Universität Darmstadt</affiliation></author>
       <author><first>Xinran</first><last>Zhao</last><affiliation>CMU, Carnegie Mellon University</affiliation></author>
       <author><first>Hongming</first><last>Zhang</last></author>
@@ -22743,6 +22746,7 @@
       <bibkey>wang-etal-2024-qrmem</bibkey>
     </paper>
     <paper id="279">
+      <title><tex-math>LONG^{2}RAG</tex-math>: Evaluating Long-Context &amp; Long-Form Retrieval-Augmented Generation with Key Point Recall</title>
       <author><first>Zehan</first><last>Qi</last><affiliation>Tsinghua University</affiliation></author>
       <author><first>Rongwu</first><last>Xu</last></author>
       <author><first>Zhijiang</first><last>Guo</last><affiliation>University of Cambridge</affiliation></author>
@@ -22782,6 +22786,7 @@
       <bibkey>ma-etal-2024-context</bibkey>
     </paper>
     <paper id="282">
+      <title>Counter <fixed-case>T</fixed-case>uring Test (<tex-math>CT^2</tex-math>): Investigating <fixed-case>AI</fixed-case>-Generated Text Detection for <fixed-case>H</fixed-case>indi - Ranking <fixed-case>LLM</fixed-case>s based on <fixed-case>H</fixed-case>indi <fixed-case>AI</fixed-case> Detectability Index (<tex-math>ADI\_{hi}</tex-math>)</title>
       <author><first>Ishan</first><last>Kavathekar</last></author>
       <author><first>Anku</first><last>Rani</last><affiliation>Massachusetts Institute of Technology</affiliation></author>
       <author><first>Ashmit</first><last>Chamoli</last></author>
@@ -25482,6 +25487,7 @@
       <bibkey>gurung-lapata-2024-chiron</bibkey>
     </paper>
     <paper id="500">
+      <title><tex-math>\textit{Refiner}</tex-math>: Restructure Retrieved Content Efficiently to Advance Question-Answering Capabilities</title>
       <author><first>Zhonghao</first><last>Li</last><affiliation>Hong Kong University of Science and Technology</affiliation></author>
       <author><first>Xuming</first><last>Hu</last><affiliation>The Hong Kong University of Science and Technology (Guangzhou) and Hong Kong University of Science and Technology</affiliation></author>
       <author><first>Aiwei</first><last>Liu</last><affiliation>Tsinghua University, Tsinghua University</affiliation></author>