Author

Ya-Xin Hou

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Preprint Oct 2026

Do Not Train Away Uncertainty: Early Uncertainty Anchored Calibration

Deep neural networks, including large language models, have achieved remarkable performance across various tasks. However, they are prone to overconfidence during training or fine-tuning. In this work, we observe a consistent phenomenon across different models that the early model is better calibrated, while later trai...

Yu-Tong Xie, Jia-Wei Tang, Zheng-Lin Hua et al. · 0 citations

Preprint Oct 2026

Unsupervised Long-Tailed Adaptation of Vision-Language Models

Adapting vision-language models to downstream tasks has achieved remarkable success by leveraging pseudo-labels generated from unlabeled data. Existing methods typically assume a uniform unlabeled data distribution, and thus the resulting pseudo-label distribution is likewise uniform. However, real-world data distribut...

Ke-Liang Chen, Ya-Xin Hou, Hui Liu et al. · 0 citations