Dialogue for prompting: a policy-gradient-based discrete prompt generation for few-shot learning C Li, X Liu, Y Wang, D Li, Y Lan, C Shen Proceedings of the AAAI Conference on Artificial Intelligence 38 (16), 18481 …, 2024 | 12* | 2024 |
Does detectgpt fully utilize perturbation? bridging selective perturbation to fine-tuned contrastive learning detector would be better S Liu, X Liu, Y Wang, Z Cheng, C Li, Z Zhang, Y Lan, C Shen arXiv preprint arXiv:2402.00263, 2024 | 9* | 2024 |
Stablept: Towards stable prompting for few-shot learning via input separation X Liu, C Liu, Z Zhang, C Li, L Wang, Y Lan, C Shen arXiv preprint arXiv:2404.19335, 2024 | 4 | 2024 |
Concentrate Attention: Towards Domain-Generalizable Prompt Optimization for Language Models C Li, X Liu, Z Zhang, Y Wang, C Liu, Y Lan, C Shen arXiv preprint arXiv:2406.10584, 2024 | 2 | 2024 |
Iron Sharpens Iron: Defending Against Attacks in Machine-Generated Text Detection with Adversarial Training Y Li, Z Zhang, C Li, C Shen, X Liu arXiv preprint arXiv:2502.12734, 2025 | | 2025 |
文本分类算法及其应用场景研究综述 刘晓明、李丞正旭、吴少聪、张宇辰、白红艳、程泽华、陈卓、李永峰、兰钰、沈超、 计算机学报 47 (2024年6期), 44 (1244-1287), 2024 | | 2024 |