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<li><span>2025:</span><b>eight full papers</b>, including papers in <b>KDD</b> (two papers), <b>ICML</b>, <b>VLDB</b>, and <b>EDBT</b>.
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<li><span>2025:</span><b>nine full papers</b>, including papers in <b>KDD</b> (two papers), <b>ICML</b>, <b>VLDB</b>, , <b>AACL</b>, and <b>EDBT</b>.
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<li><span>2024:</span><b>nine full papers</b> in <b>SIGMOD</b>, <b>VLDB</b>, <b>NAACL</b>, <b>VLDB Journal</b> (two papers), <b>EDBT</b> (two papers), <b>ICKG</b>, and one invited paper in <b>Data Engineering Bulletin</b>; and one Demo paper in VLDB.
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@@ -109,6 +109,7 @@ <h5>May 2025 -- End of Year Party</h5>
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<divclass="card-header">News and Announcements</div>
<li>Congratulations to <i><ahref="https://scholar.google.com/citations?user=-RDRcqAAAAAJ" target="_blank">Sana Ebrahimi</a></i> and <i><ahref="https://mohsendehghankar.github.io/" target="_blank">Mohsen Dehghankar</a></i> on their <i>AACL'25</i> paper, <i>“An Adversary-Resistant Multi-Agent LLM System via Credibility Scoring”</i>.</li>
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<li>Congratulations to <i><ahref="https://mohsendehghankar.github.io/" target="_blank">Mohsen Dehghankar</a></i> on his <i>KDD'25</i> paper, <i>“Rank It, Then Ask It: Input Reranking for Maximizing the Performance of LLMs on Symmetric Tasks”</i>.</li>
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<li>Congratulations to <i><ahref="https://mohsendehghankar.github.io/" target="_blank">Mohsen Dehghankar</a></i> and <i><ahref="http://merfanian.github.io/" target="_blank">Mahdi Erfanian</a></i> on their <i>ICML'25</i> paper, <i>“An Efficient Matrix Multiplication Algorithm for Accelerating Inference in Binary and Ternary Neural Networks”</i>.</li>
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<li>Congratulations to <i><ahref="https://neemashahbazi.github.io/" target="_blank">Nima Shahbazi</a></i> on the <b>“2024-2025 College of Engineering Exceptional Research Promise Award”</b>.</li>
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