Only Say What You Know: Calibration-Aware Generation for Long-Form Factuality
Wen Luo, Guangyue Peng, Liang Wang, et al.
arXivPh.D. Student · Computational Linguistics
Ph.D. student at the Institute of Computational Linguistics, School of Computer Science, Peking University, advised by Prof. Houfeng Wang.
My research focuses on building reliable and trustworthy large generative models, with a particular emphasis on hallucination, factuality, and mechanistic interpretability. I am broadly interested in developing AI systems that are more truthful, interpretable, and aligned with human expectations.
Feel free to reach out if you are interested in collaboration or have related research ideas.
Wen Luo, Guangyue Peng, Liang Wang, et al.
arXivWen Luo, Guangyue Peng, Wei Li, et al.
arXivGuangyue Peng, Zongchao Chen, Wen Luo, et al.
arXivWen Luo, Feifan Song, Wei Li, et al.
ACL AnthologyGuangyue Peng, Wei Li, Wen Luo, et al.
ACL AnthologyFeifan Song, Shaohang Wei, Wen Luo, et al.
ACL AnthologyGuangyue Peng, Tao Ge, Wen Luo, et al.
ACL AnthologyShaohang Wei, Wei Li, Feifan Song, Wen Luo, et al.
arXivWei Li, Xin Zhang, Zhongxin Guo, Shaoguang Mao, Wen Luo, et al.
ACL AnthologyWei Li, Wen Luo, Guangyue Peng, Houfeng Wang
ACL AnthologyFeifan Song, Shaohang Wei, Baoxin Gao, Yiwei Wang, Wen Luo, et al.
arXivWen Luo, Yu Xia, Tianshu Shen, et al.
ACM DLWen Luo, Tianshu Shen, Wei Li, et al.
arXivPresident's Scholarship, Peking UniversityTop 1%
BOSS Zhipin Scholarship
Award for Scientific Research, Peking University
Ubiquant Scholarship
Ph.D., Peking UniversityInstitute of Computational Linguistics, School of Computer Science
Undergraduate, Peking UniversitySchool of Electronics Engineering and Computer Science
Microsoft Research AsiaNowBeijing
Beijing Academy of Artificial Intelligence (BAAI)Beijing