Selected Publications
- [1] Bo Li, Peng Qi, Bo Liu, Shuai Di, Jingen Liu, Jiquan Pei, Jinfeng Yi, Bowen Zhou. Trustworthy AI: From principles to practices. ACM Computing Surveys 2023/1
- [2] Biqing Qi, Bowen Zhou, Weinan Zhang, Jianxing Liu, Ligang Wu. Improving robustness of intent detection under adversarial attacks: A geometric constraint perspective. IEEE transactions on neural networks and learning systems. 2023/8
- [3] Biqing Qi, Junqi Gao, Jianxing Liu, Ligang Wu, Bowen Zhou. Enhancing adversarial transferability via information bottleneck constraints. IEEE Signal Processing Letters. 2024/4
- [4] Biqing Qi, Yiang Luo, Junqi Gao, Pengfei Li, Kai Tian, Zhiyuan Ma, Bowen Zhou. Exploring adversarial robustness of deep state space models. NeurIPS 2024
- [5] Ning Ding, Yulin Chen, Bokai Xu, Yujia Qin, Zhi Zheng, Shengding Hu, Zhiyuan Liu, Maosong Sun, Bowen Zhou. Enhancing chat language models by scaling high-quality instructional conversations. EMNLP 2023
- [6] Kaiyan Zhang, Ning Ding, Biqing Qi, Xuekai Zhu, Xinwei Long, Bowen Zhou. CRaSh: Clustering, Removing, and Sharing Enhance Fine-tuning without Full Large Language Model. EMNLP 2023
- [7] Ning Ding, Xingtai Lv, Qiaosen Wang, Yulin Chen, Bowen Zhou, Zhiyuan Liu, Maosong Sun. Sparse low-rank adaptation of pre-trained language models. EMNLP 2023
- [8] Bowen Zhou, Ning Ding. Generative ai for complex scenarios: Language models are sequence processors. International Journal of Artificial Intelligence and Robotics Research. 2024/3
- [9] Xuekai Zhu, Biqing Qi, Kaiyan Zhang, Xinwei Long, Zhouhan Lin, Bowen Zhou. PaD: Program-aided distillation can teach small models reasoning better than chain-of-thought fine-tuning. NAACL 2024
- [10] Che Jiang, Biqing Qi, Xiangyu Hong, Dayuan Fu, Yang Cheng, Fandong Meng, Mo Yu, Bowen Zhou, Jie Zhou. On Large Language Models' Hallucination with Regard to Known Facts. NAACL 2024
MOBILE Version