Kangxi Wu

According to our database, Kangxi Wu authored at least 6 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Marrying Autoregressive Transformer and Diffusion with Multi-Reference Autoregression.

Dingcheng Zhen, Qian Qiao, Tan Yu, Kangxi Wu, Ziwei Zhang, Siyuan Liu, Shunshun Yin, Ming Tao

CoRR, June, 2025

Baichuan-M1: Pushing the Medical Capability of Large Language Models.

Bingning Wang, Haizhou Zhao, Huozhi Zhou, Liang Song, Mingyu Xu, Wei Cheng, Xiangrong Zeng, Yupeng Zhang, Yuqi Huo, Zecheng Wang, Zhengyun Zhao, Da Pan, Fan Yang, Fei Kou, Fei Li, Fuzhong Chen, Guosheng Dong, Han Liu, Hongda Zhang, Jin He, Jinjie Yang, Kangxi Wu, Kegeng Wu, Lei Su, Linlin Niu, Linzhuang Sun, Mang Wang, Pengcheng Fan, Qianli Shen, Rihui Xin, Shunya Dang, Songchi Zhou, Weipeng Chen, Wenjing Luo, Xin Chen, Xin Men, Xionghai Lin, Xuezhen Dong, Yan Zhang, Yifei Duan, Yuyan Zhou, Zhi Ma, Zhiying Wu

CoRR, February, 2025

2024

Cross-Model Comparative Loss for Enhancing Neuronal Utility in Language Understanding.

Yunchang Zhu, Liang Pang, Kangxi Wu, Yanyan Lan, Huawei Shen, Xueqi Cheng

ACM Trans. Inf. Syst., September, 2024

Enhancing Training Data Attribution for Large Language Models with Fitting Error Consideration.

Kangxi Wu, Liang Pang, Huawei Shen, Xueqi Cheng

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

LLMDet: A Large Language Models Detection Tool.

Kangxi Wu, Liang Pang, Huawei Shen, Xueqi Cheng, Tat-Seng Chua

CoRR, 2023

LLMDet: A Third Party Large Language Models Generated Text Detection Tool.

Kangxi Wu, Liang Pang, Huawei Shen, Xueqi Cheng, Tat-Seng Chua

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023