一作ICML 2026Poster
TiME: Test-Time Mixture-of-Experts Routing via Asymmetric CO-Optimal Transport for Continual Test-Time Adaptation
Tianlun Liu · Zhiliang Tian · Zhen Huang · Tianle Liu · Xingzhi Zhou · Feng Liu · Dongsheng Li
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Tianlun Liu · Zhiliang Tian · Zhen Huang · Tianle Liu · Xingzhi Zhou · Feng Liu · Dongsheng Li
Tianle Liu · Zhiliang Tian · Zhen Huang · Tianlun Liu · Jingyuan Huang · Zhaoning Zhang · Chengcheng Shao · Dongsheng Li
As the text generated by large language models (LLMs) increasingly resembles human-written text (HWT), detecting LLM-generated text (LGT) is crucial to avoid malicious use of LGT. Recent research treats LGT detection as an out-of-distribution (OOD) detection problem and views HWT as the OOD. Howe...
Tianlun Liu · Zhiliang Tian · Zhen Huang · Xingzhi Zhou · Wanlong Yu · Tianle Liu · Feng Liu · Dongsheng Li
Text understanding application often suffers from domain shifts. To handle testing domains, domain adaptation (DA) is trained to adapt to a fixed and observed testing domain; a more challenging paradigm, test-time adaptation (TTA), cannot access the testing domain during training and online adapt...