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Post-Training Augmentation Invariance
提出训练后的数据增强不变性方法,提升模型泛化能力,不依赖额外训练成本。
arXiv:2505.11702v3 Announce Type: replace Abstract: This work develops a framework for post-training augmentation invariance, in which our goal is to …
提出训练后的数据增强不变性方法,提升模型泛化能力,不依赖额外训练成本。
arXiv:2505.11702v3 Announce Type: replace Abstract: This work develops a framework for post-training augmentation invariance, in which our goal is to …
跨释义不变性学习新方法精准检测大模型幻觉,已被ICASSP 2026接收。
arXiv:2606.08157v1 Announce Type: new Abstract: Large language models (LLMs) frequently generate hallucinations, which are unsupported by a source doc…