Only Say What You Know: Calibration-Aware Generation for Long-Form Factuality
Wen Luo, Guangyue Peng, Liang Wang, et al.
Ph.D. Student · Computational Linguistics
Ph.D. student at the School of Computer Science, Peking University, advised by Prof. Houfeng Wang.
My research centers on large language models, with a particular focus on reasoning faithfulness, retrieval-augmented generation, and long-term memory. I study how models can reason more faithfully and reliably, how they can ground generation in retrieved knowledge, and how they can keep learning over time without forgetting.
Feel free to reach out if you are interested in collaboration or have related research ideas.
Wen Luo, Guangyue Peng, Liang Wang, et al.
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Ruixiang Feng, ..., Guangyue Peng, et al.
Chen Yang, Guangyue Peng, Jiahao Zhu, et al.
Guangyue Peng, Tao Ge, Wen Luo, et al.
Wen Luo, Feifan Song, Wei Li, Guangyue Peng, et al.
Wei Li, Xin Zhang, ..., Wen Luo, Guangyue Peng, et al.
Guangyue Peng, Wei Li, Wen Luo, et al.
Wei Li, Wen Luo, Guangyue Peng, et al.
Huawei Scholarship, School of Computer Science, Peking University
BOSS Zhipin Scholarship
Merit Student, Peking University
Outstanding Individual Contribution, Beijing Winter Olympics & Paralympics
Fenjiu Group Public Welfare Scholarship, Peking University
Freshman Scholarship, Peking UniversityThird Prize
Ph.D., Peking UniversitySchool of Computer Science
Undergraduate, Peking UniversityData Science and Big Data Technology, Yuanpei College
BOSS ZhipinResearch Intern, Algorithm Engineering Group · Beijing
Peking University & Founder GroupUniversity-Enterprise Cooperation Project · Beijing
Microsoft Research AsiaResearch Intern, Innovation Engineering Group · Beijing