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Bei Chen
Bei Chen
Microsoft Research Asia
Verified email at microsoft.com - Homepage
Title
Cited by
Cited by
Year
CodeT: Code Generation with Generated Tests
B Chen, F Zhang, A Nguyen, D Zan, Z Lin, JG Lou, W Chen
arXiv preprint arXiv:2207.10397, 2022
1772022
Tapex: Table pre-training via learning a neural sql executor
Q Liu, B Chen, J Guo, Z Lin, J Lou
arXiv preprint arXiv:2107.07653, 2021
1702021
You impress me: Dialogue generation via mutual persona perception
Q Liu, Y Chen, B Chen, JG Lou, Z Chen, B Zhou, D Zhang
arXiv preprint arXiv:2004.05388, 2020
1512020
Text-to-viz: Automatic generation of infographics from proportion-related natural language statements
W Cui, X Zhang, Y Wang, H Huang, B Chen, L Fang, H Zhang, JG Lou, ...
IEEE transactions on visualization and computer graphics 26 (1), 906-916, 2019
1252019
On the Advance of Making Language Models Better Reasoners
Y Li, Z Lin, S Zhang, Q Fu, B Chen, JG Lou, W Chen
arXiv preprint arXiv:2206.02336, 2022
1122022
Max-margin nonparametric latent feature models for link prediction
J Zhu, J Song, B Chen
arXiv preprint arXiv:1602.07428, 2016
1102016
Making Language Models Better Reasoners with Step-Aware Verifier
Y Li, Z Lin, S Zhang, Q Fu, B Chen, JG Lou, W Chen
Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023
902023
Large Language Models Meet NL2Code: A Survey
D Zan, B Chen, F Zhang, D Lu, B Wu, B Guan, W Yongji, JG Lou
Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023
792023
RepoCoder: Repository-Level Code Completion Through Iterative Retrieval and Generation
F Zhang, B Chen, Y Zhang, J Liu, D Zan, Y Mao, JG Lou, W Chen
arXiv preprint arXiv:2303.12570, 2023
672023
CERT: Continual Pre-Training on Sketches for Library-Oriented Code Generation
D Zan, B Chen, D Yang, Z Lin, M Kim, B Guan, Y Wang, W Chen, JG Lou
arXiv preprint arXiv:2206.06888, 2022
672022
Incomplete Utterance Rewriting as Semantic Segmentation
Q Liu, B Chen, JG Lou, B Zhou, D Zhang
arXiv preprint arXiv:2009.13166, 2020
532020
Reasoning Like Program Executors
X Pi, Q Liu, B Chen, M Ziyadi, Z Lin, Y Gao, Q Fu, JG Lou, W Chen
arXiv preprint arXiv:2201.11473, 2022
522022
Yi: Open Foundation Models by 01. AI
A Young, B Chen, C Li, C Huang, G Zhang, G Zhang, H Li, J Zhu, J Chen, ...
arXiv preprint arXiv:2403.04652, 2024
492024
λOpt: Learn to Regularize Recommender Models in Finer Levels
Y Chen, B Chen, X He, C Gao, Y Li, JG Lou, Y Wang
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
392019
When Language Model Meets Private Library
D Zan, B Chen, Z Lin, B Guan, Y Wang, JG Lou
arXiv preprint arXiv:2210.17236, 2022
312022
Input-tuning: Adapting unfamiliar inputs to frozen pretrained models
S An, Y Li, Z Lin, Q Liu, B Chen, Q Fu, W Chen, N Zheng, JG Lou
arXiv preprint arXiv:2203.03131, 2022
302022
Revisiting iterative back-translation from the perspective of compositional generalization
Y Guo, H Zhu, Z Lin, B Chen, JG Lou, D Zhang
arXiv preprint arXiv:2012.04276, 2020
272020
How Far are We from Effective Context Modeling? An Exploratory Study on Semantic Parsing in Context
Q Liu, B Chen, J Guo, JG Lou, B Zhou, D Zhang
arXiv preprint arXiv:2002.00652, 2020
272020
Explainable Automated Debugging via Large Language Model-driven Scientific Debugging
S Kang, B Chen, S Yoo, JG Lou
arXiv preprint arXiv:2304.02195, 2023
242023
Compositional Generalization by Learning Analytical Expressions
Q Liu, S An, JG Lou, B Chen, Z Lin, Y Gao, B Zhou, N Zheng, D Zhang
arXiv preprint arXiv:2006.10627, 2020
202020
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Articles 1–20