Publications

Zhiyuan Ma, Liangliang Zhao, Biqing Qi, Bowen Zhou (2024). Neural Residual Diffusion Models for Deep Scalable Vision Generation. arXiv preprint.

Kaiyan Zhang, Biqing Qi, Bowen Zhou (2024). Towards Building Specialized Generalist AI with System 1 and System 2 Fusion. arXiv preprint.

Zhiyuan Ma, Guoli Jia, Biqing Qi, Bowen Zhou (2024). Safe-SD: Safe and Traceable Stable Diffusion with Text Prompt Trigger for Invisible Generative Watermarking . ACM MM.

Kaiyan Zhang, Sihang Zeng, Ermo Hua, Ning Ding, Zhang-Ren Chen, Zhiyuan Ma, Haoxin Li, Ganqu Cui, Biqing Qi, Xuekai Zhu, Xingtai Lv, Jin-Fang Hu, Zhiyuan Liu, Bowen Zhou (2024). UltraMedical: Building Specialized Generalists in Biomedicine. arXiv preprint.

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Biqing Qi, Pengfei Li, Fangyuan Li, Junqi Gao, Kaiyan Zhang, Bowen Zhou (2024). Online DPO: Online Direct Preference Optimization with Fast-Slow Chasing. arXiv preprint.

Ermo Hua, Biqing Qi, Kaiyan Zhang, Yue Yu, Ning Ding, Xingtai Lv, Kai Tian, Bowen Zhou (2024). Intuitive Fine-Tuning: Towards Simplifying Alignment into a Single Process. arXiv preprint.

Kaiyan Zhang, Jianyu Wang, Ning Ding, Biqing Qi, Ermo Hua, Xingtai Lv, Bowen Zhou (2024). Fast and Slow Generating: An Empirical Study on Large and Small Language Models Collaborative Decoding. arXiv preprint.

Biqing Qi, Yiang Luo, Junqi Gao, Pengfei Li, Kai Tian, Zhiyuan Ma, Bowen Zhou (2024). Exploring Adversarial Robustness of Deep State Space Models. arXiv preprint.

Biqing Qi, Junqi Gao, Jianxing Liu, Ligang Wu, Bowen Zhou (2024). Enhancing Adversarial Transferability via Information Bottleneck Constraints. IEEE Signal Processing Letters.

Xinwei Long, Jiali Zeng, Fandong Meng, Jie Zhou, Bowen Zhou (2024). Trust in Internal or External Knowledge? Generative Multi-Modal Entity Linking with Knowledge Retriever. ACL Findings.

Biqing Qi, Junqi Gao, Kaiyan Zhang, Dong Li, Jianxing Liu, Ligang Wu, Bowen Zhou (2024). SMR: State Memory Replay for Long Sequence Modeling. ACL Findings.

Kaiyan Zhang, Jianyu Wang, Ermo Hua, Biqing Qi, Ning Ding, Bowen Zhou (2024). CoGenesis: A Framework Collaborating Large and Small Language Models for Secure Context-Aware Instruction Following. ACL Main Conference.

Xuekai Zhu, Biqing Qi, Kaiyan Zhang, Xinwei Long, Zhouhan Lin, Bowen Zhou (2024). PaD: Program-aided Distillation Specializes Large Models in Reasoning. NAACL Main Conference.

Che Jiang, Biqing Qi, Xiangyu Hong, Dayuan Fu, Yang Cheng, Fandong Meng, Mo Yu, Bowen Zhou, Jie Zhou (2024). On Large Language Models' Hallucination with Regard to Known Facts. NAACL Main Conference.

Biqing Qi, Kaiyan Zhang, Kai Tian, Haoxiang Li, Zhang-Ren Chen, Sihang Zeng, Ermo Hua, Jin-Fang Hu, Bowen Zhou (2024). Large Language Models as Biomedical Hypothesis Generators: A Comprehensive Evaluation. COLM.

Biqing Qi, Junqi Gao, Yiang Luo, Jianxing Liu, Ligang Wu, Bowen Zhou (2024). Investigating Deep Watermark Security: An Adversarial Transferability Perspective. arXiv preprint.

Biqing Qi, Junqi Gao, Xingquan Chen, Dong Li, Jianxing Liu, Ligang Wu, Bowen Zhou (2024). Contrastive Augmented Graph2Graph Memory Interaction for Few Shot Continual Learning. arXiv preprint.

Pancheng Zhao, Peng Xu, Pengda Qin, Deng-Ping Fan, Zhicheng Zhang, Guoli Jia, Bowen Zhou, Jufeng Yang (2024). LAKE-RED: Camouflaged Images Generation by Latent Background Knowledge Retrieval-Augmented Diffusion. CVPR.

Biqing Qi, Xinquan Chen, Junqi Gao, Dong Li, Jianxing Liu, Ligang Wu, Bowen Zhou (2024). Interactive Continual Learning: Fast and Slow Thinking. CVPR.

Bowen Zhou, Ning Ding (2024). Generative AI for Complex Scenarios: Language Models are Sequence Processors. International Journal of Artificial Intelligence and Robotics Research, Vol. 1, No. 1.

Zhiyuan Ma, Zhihuan Yu, Jianjun Li, Bowen Zhou (2024). LMD: Faster Image Reconstruction with Latent Masking Diffusion. AAAI Main Conference.

Xinwei Long, Jiali Zeng, Fandong Meng, Zhiyuan Ma, Kaiyan Zhang, Bowen Zhou, Jie Zhou (2024). Generative Multi-Modal Knowledge Retrieval with Large Language Models. AAAI Main Conference.

Zhiyuan Ma, Guoli Jia, Bowen Zhou (2024). AdapEdit: Spatio-Temporal Guided Adaptive Editing Algorithm for Text-Based Continuity-Sensitive Image Editing. AAAI Main Conference.

Biqing Qi, Kaiyan Zhang, Haoxiang Li, Kai Tian, Sihang Zeng, Zhang-Ren Chen, Bowen Zhou (2023). Large Language Models are Zero Shot Hypothesis Proposers. NeurIPS Workshop.

Ning Ding, Xingtai Lv, Qiaosen Wang, Yulin Chen, Bowen Zhou, Zhiyuan Liu, Maosong Sun (2023). Sparse Low-rank Adaptation of Pre-trained Language Models. EMNLP Main Conference.

Ning Ding, Yulin Chen, Bokai Xu, Yujia Qin, Zhi Zheng, Shengding Hu, Zhiyuan Liu, Maosong Sun, Bowen Zhou (2023). Enhancing Chat Language Models by Scaling High-quality Instructional Conversations. EMNLP Main Conference.

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Kaiyan Zhang, Ning Ding, Biqing Qi, Xuekai Zhu, Xinwei Long, Bowen Zhou (2023). CRaSh: Clustering, Removing, and Sharing Enhance Fine-tuning without Full Large Language Model. EMNLP Main Conference.

Biqing Qi, Bowen Zhou, Weinan Zhang, Jianxing Liu, Ligang Wu (2023). Improving Robustness of Intent Detection Under Adversarial Attacks: A Geometric Constraint Perspective. TNNLS.

Bo Li, Peng Qi, Bo Liu, Shuai Di, Jingen Liu, Jiquan Pei, Jinfeng Yi, Bowen Zhou (2023). Trustworthy AI: From Principles to Practices. ACM Computing Surveys, Vol. 55, No. 9, Article 177.