Add sparsity paper links

Author: hyeondo-jang

research.html

@@ -448,7 +448,7 @@ <h2>Research Focus</h2>
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-                        <span class="fold-item-title">Extreme Sparsity <span class="paper-tag">(<a href="https://arxiv.org/abs/2510.01650" target="_blank">ICLR 2026</a>)</span></span>
+                        <span class="fold-item-title">Extreme Sparsity <span class="paper-tag">(<a href="https://arxiv.org/abs/2510.01650" target="_blank">ICLR 2026</a>, <a href="https://arxiv.org/abs/2506.06866" target="_blank">ICML 2025</a>, <a href="https://arxiv.org/abs/2406.15524" target="_blank">EMNLP 2024</a>)</span></span>
                         We push the limits of LLM sparsity through advanced optimization frameworks such as ADMM, aiming for robust generalization even at extreme compression levels.
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