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@@ -154,11 +154,16 @@ <h1>Lee Optimization Group</h1>
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For further information, please visit the
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<a href="hiring.html">Hiring</a>.
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</p> -->
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<h3>News</h3>
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<h3>Recent News</h3>
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<ul>
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<li>
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<strong>Feb 2026 </strong>
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🎓 Our new paper is now available on <a href="https://www.arxiv.org/abs/2602.03515" target="_blank">here</a>! In this work, we propose a basis rotation approach to effectively address the gradient staleness problem in asynchronous pipeline parallelism.
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📃 Our new paper is now available on <a href="https://arxiv.org/abs/2602.18181v1" target="_blank">arXiv</a>! In this work, We propose SeedFlood, a decentralized LLM training framework with seed-reconstructible zeroth-order updates that achieves model-size–independent communication cost and perfect consensus.
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</li>
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<strong>Feb 2026 </strong>
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📃 Our new paper is now available on <a href="https://www.arxiv.org/abs/2602.03515" target="_blank">arXiv</a>! In this work, we propose a basis rotation approach to effectively address the gradient staleness problem in asynchronous pipeline parallelism.
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</a>
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<!-- <li>
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<strong>Nov 2025 </strong>
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🎓 We had 2 papers
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(<a href="https://arxiv.org/abs/2510.25798" target="_blank">MemEIC</a> and <a href="https://arxiv.org/abs/2505.16705" target="_blank">An Analysis of Impact of Noisy Annotations on Concept Bottleneck Models</a>)
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accepted to NeurIPS 2025.
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</ul>
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