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-            <h1 class="title is-1 publication-title">Academic Project Page</h1>
+            <h1 class="title is-1 publication-title">Leveraging Dual Process Theory in Language Agent Framework for Real-time Simultaneous Human-AI Collaboration</h1>
             <div class="is-size-5 publication-authors">
               <!-- Paper authors -->
               <span class="author-block">
-                <a href="FIRST AUTHOR PERSONAL LINK" target="_blank">First Author</a><sup>*</sup>,</span>
+                <a href="https://shaozhang.info" target="_blank">Shao Zhang</a><sup>1*</sup>,</span>
                 <span class="author-block">
-                  <a href="SECOND AUTHOR PERSONAL LINK" target="_blank">Second Author</a><sup>*</sup>,</span>
+                  <a href="https://xihuai18.github.io" target="_blank">Xihuai Wang</a><sup>1*</sup>,</span>
                   <span class="author-block">
-                    <a href="THIRD AUTHOR PERSONAL LINK" target="_blank">Third Author</a>
+                    Wenhao Zhang<sup>1</sup>,
+                  </span>
+                  <span class="author-block">
+                    Chaoran Li<sup></sup>,
+                  </span>
+                  <span class="author-block">
+                    Junru Song<sup>1</sup>,
+                  </span>
+                  <span class="author-block">
+                    Tingyu Li<sup>1</sup>,
+                  </span>
+                  <span class="author-block">
+                    Lin Qiu<sup>2</sup>,
+                  </span>
+                  <span class="author-block">
+                    Xuezhi Cao<sup>2</sup>,
+                  </span>
+                  <span class="author-block">
+                    Xunliang Cai<sup>2</sup>,
+                  </span>
+                  <span class="author-block">
+                    Wen Yao<sup>3</sup>,
+                  </span>
+                  <span class="author-block">
+                    <a href="https://wnzhang.net" target="_blank">Weinan Zhang</a><sup>1</sup>,
+                  </span>
+                  <span class="author-block">
+                    Xinbing Wang<sup>1</sup>,
+                  </span>
+                  <span class="author-block">
+                    <a href="https://yingwen.io" target="_blank">Ying Wen</a><sup>1#</sup>
                   </span>
                   </div>
 
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-                    <span class="author-block">Institution Name<br>Conferance name and year</span>
-                    <span class="eql-cntrb"><small><br><sup>*</sup>Indicates Equal Contribution</small></span>
+                    <span class="author-block"><sup>1</sup> Shanghai Jiao Tong University <sup>2</sup>, Meituan <sup>3</sup>, Intelligent Game and Decision Laboratory<br></span>
+                    <span class="eql-cntrb"><small><br><sup>*</sup>Equal Contribution <sup>#</sup>Corresponding Author</small></span>
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-                        <a href="https://arxiv.org/pdf/<ARXIV PAPER ID>.pdf" target="_blank"
+                        <a href="https://arxiv.org/pdf/2502.11882.pdf" target="_blank"
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+                    <a href="https://github.com/sjtu-marl/DPT-Agent" target="_blank"
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+                  <a href="https://arxiv.org/abs/2502.11882" target="_blank"
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@@ -127,13 +157,14 @@ <h1 class="title is-1 publication-title">Academic Project Page</h1>
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+        How DPT-Agent Collaborates with Human Simultaneously in Real-time.
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         <h2 class="title is-3">Abstract</h2>
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-            Lorem ipsum dolor sit amet, consectetur adipiscing elit. Proin ullamcorper tellus sed ante aliquam tempus. Etiam porttitor urna feugiat nibh elementum, et tempor dolor mattis. Donec accumsan enim augue, a vulputate nisi sodales sit amet. Proin bibendum ex eget mauris cursus euismod nec et nibh. Maecenas ac gravida ante, nec cursus dui. Vivamus purus nibh, placerat ac purus eget, sagittis vestibulum metus. Sed vestibulum bibendum lectus gravida commodo. Pellentesque auctor leo vitae sagittis suscipit.
+            Agents built on large language models (LLMs) have excelled in turn-by-turn human-AI collaboration but struggle with simultaneous tasks requiring real-time interaction. Latency issues and the challenge of inferring variable human strategies hinder their ability to make autonomous decisions without explicit instructions.
+            Through experiments with current independent <i>System 1</i> and <i>System 2</i> methods, we validate the necessity of using Dual Process Theory (DPT) in real-time tasks.
+            We propose <br>DPT-Agent, a novel language agent framework that integrates <i>System 1</i> and <i>System 2</i> for efficient real-time simultaneous human-AI collaboration.
+            DPT-Agent's <i>System 1</i> uses a Finite-state Machine (FSM) and code-as-policy for fast, intuitive, and controllable decision-making. 
+            DPT-Agent's <i>System 2</i> integrates Theory of Mind (ToM) and asynchronous reflection to infer human intentions and perform reasoning-based autonomous decisions.
+            We demonstrate the effectiveness of  DPT-Agent through further experiments with rule-based agents and human collaborators, showing significant improvements over mainstream LLM-based frameworks. 
+            To the best of our knowledge,  DPT-Agent is the first language agent framework that achieves successful real-time simultaneous human-AI collaboration autonomously. 
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-      <pre><code>BibTex Code Here</code></pre>
+      <pre><code>@article{zhang2025ldpt,
+        title={Leveraging Dual Process Theory in Language Agent Framework for Real-time Simultaneous Human-AI Collaboration}, 
+        author={Shao Zhang and Xihuai Wang and Wenhao Zhang and Chaoran Li and Junru Song and Tingyu Li and Lin Qiu and Xuezhi Cao and Xunliang Cai and Wen Yao and Weinan Zhang and Xinbing Wang and Ying Wen},
+        year={2025},
+        eprint={2502.11882},
+        archivePrefix={arXiv},
+        primaryClass={cs.AI},
+        url={https://arxiv.org/abs/2502.11882}, 
+  }</code></pre>
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 </section>
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