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cs.CL2025
Towards Robust Few-Shot Text Classification Using Transformer Architectures and Dual Loss Strategies
Xu Han, Yumeng Sun, Weiqiang Huang +2
Few-shot text classification has important application value in low-resource environments. This paper proposes a strategy that combines adaptive fine-tuning, contrastive learning,…
cs.CL2025
Improving Harmful Text Detection with Joint Retrieval and External Knowledge
Zidong Yu, Shuo Wang, Nan Jiang +3
Harmful text detection has become a crucial task in the development and deployment of large language models, especially as AI-generated content continues to expand across digital p…