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'''<span style="font-family:微软雅黑; font-size:medium">Selected Paper</span>'''
<p style="text-align:center"><span style="font-family:Times New Roman,Times,serif"><span style="font-size:larger">2024</span></span></p>
#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Yuntao Du, Siqi Luo, yi Xin, MingCai Chen, Shuai Feng, Mujie Zhang, Chongjun Wang. Multi-source Fully Test-Time Adaptation. In '''''Proceedings of ICLR 2024 '''''<i>'''Workshop PML4LRs'''</i>, Accepted</span></span> #<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Liu Z., Xia C., He W., Wang C. Trustworthiness and Self-awareness in Large Language Models: An Exploration through the Think-Solve-Verify Framework. In '''''Proceedings of '''''<i>'''Coling'''</i>''''' 2024''''', Accepted</span></span> #<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Liu Z., etc. '''Are Transformer-based Models more More Robust than CNN-based Models?'''. '''Neural Networks''', Accepted</span></span>
#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Li S., etc. SEEKING SIMILARITIES WHILE REMOVING DIFFERENCES: GRAPH NEURAL NETWORKS BASED ON NODE CORRELATION. In '''''Proceedings of ICASSP 2024''''', Accepted</span></span>
#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Liu Z., etc. Understanding Data Augmentation from a Robustness Perspective. In '''''Proceedings of ICASSP 2024''''', Accepted</span></span>
