Deep neural networks often learn and rely on spurious correlations, i.e., superficial associations between non-causal features and the targets. For instance, an image classifier may identify camels based on the desert backgrounds. While it can yield high overall accuracy during training, it degrades generalization on m...
Wenqian Ye, Guangtao Zheng, Ai-Dong Zhang· Knowledge Discovery and Data...· 5 citations
Tevatron 3.0 is presented, which integrates a Megatron-Core training backend into Tevatron while preserving its data pipeline, evaluation workflow, and Hugging Face-compatible checkpoints, and supports both LoRA and full-parameter fine-tuning.
Zhichao Xu, Xueguang Ma, Shengyao Zhuang et al.· 2 citations
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