Kaiyue Wen

140

105

20222023202413 129 73

Xiaozhi WangTsinghua UniversityVerified email at mails.tsinghua.edu.cn
Zhiyuan LiuAssociate Professor, Tsinghua UniversityVerified email at tsinghua.edu.cn
Tengyu MAStanford UniversityVerified email at stanford.edu
Zhiyuan LiAssistant Professor, Toyota Technological Institute at ChicagoVerified email at ttic.edu
Zhengyan ZhangTsinghua UniversityVerified email at mails.tsinghua.edu.cn
Bingbin LiuPhD Student in Machine Learning Department, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Andrej RisteskiCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Yuchen LiCarnegie Mellon UniversityVerified email at cs.cmu.edu
Jiaye TengTsinghua UniversityVerified email at mails.tsinghua.edu.cn
Jingzhao ZhangIIIS, Tsinghua UniversityVerified email at mit.edu
Tengyao WangAssociate Professor in Statistics at London School of EconomicsVerified email at lse.ac.uk
Eric JiangUndergraduate Student, Tsinghua UniversityVerified email at mails.tsinghua.edu.cn
Yilei ChenTsinghua UniversityVerified email at mail.tsinghua.edu.cn
Yuhao Wang | 王禹皓Institute for Interdisciplinary Information Sciences, Tsinghua UniversityVerified email at tsinghua.edu.cn

Kaiyue Wen

Verified email at mails.tsinghua.edu.cn - Homepage


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
On transferability of prompt tuning for natural language processing Y Su, X Wang, Y Qin, CM Chan, Y Lin, H Wang, K Wen, Z Liu, P Li, J Li, ... arXiv preprint arXiv:2111.06719, 2021	91	2021
How Sharpness-Aware Minimization Minimizes Sharpness? K Wen, T Ma, Z Li International Conference on Learning Representations, 0	52*
Finding Skill Neurons in Pre-trained Transformer-based Language Models X Wang, K Wen, Z Zhang, L Hou, Z Liu, J Li arXiv preprint arXiv:2211.07349, 2022	42	2022
Transformers are uninterpretable with myopic methods: a case study with bounded Dyck grammars K Wen, Y Li, B Liu, A Risteski Advances in Neural Information Processing Systems 36, 2024	11*	2024
Sharpness minimization algorithms do not only minimize sharpness to achieve better generalization K Wen, Z Li, T Ma Advances in Neural Information Processing Systems 36, 2024	9	2024
Benign overfitting in classification: Provably counter label noise with larger models K Wen, J Teng, J Zhang arXiv preprint arXiv:2206.00501, 2022	5*	2022
Residual permutation test for high-dimensional regression coefficient testing K Wen, T Wang, Y Wang arXiv preprint arXiv:2211.16182, 2022	4	2022
RNNs are not Transformers (Yet): The Key Bottleneck on In-context Retrieval K Wen, X Dang, K Lyu arXiv preprint arXiv:2402.18510, 2024	1	2024
Practically Solving LPN in High Noise Regimes Faster Using Neural Networks H Jiang, K Wen, Y Chen arXiv preprint arXiv:2303.07987, 2023		2023

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