Bei Chen

According to our database, Bei Chen authored at least 46 papers between 2018 and 2025.

Collaborative distances:

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

2025

A²Search: Ambiguity-Aware Question Answering with Reinforcement Learning.

Fengji Zhang, Xinyao Niu, Chengyang Ying, Guancheng Lin, Zhongkai Hao, Zhou Fan, Chengen Huang, Jacky Keung, Bei Chen, Junyang Lin

CoRR, October, 2025

Explainable automated debugging via large language model-driven scientific debugging.

Sungmin Kang, Bei Chen, Shin Yoo, Jian-Guang Lou

Empir. Softw. Eng., March, 2025

Private-library-oriented code generation with large language models.

Daoguang Zan, Bei Chen, Yongshun Gong, Junzhi Cao, Fengji Zhang, Bingchao Wu, Bei Guan, Yilong Yin, Yongji Wang

Knowl. Based Syst., 2025

DFM: Dialogue foundation model for universal large-scale dialogue-oriented task learning.

Zhi Chen, Da Ma, Hanqi Li, Lu Chen, Jiabao Ji, Yuncong Liu, Bei Chen, Mengyue Wu, Su Zhu, Xin Dong, Fujiang Ge, Qingliang Miao, Jian-Guang Lou, Shuai Fan, Kai Yu

AI Open, 2025

SoTaNa: An Open-Source Software Engineering Instruction-Tuned Model.

Ensheng Shi, Yanlin Wang, Fengji Zhang, Bei Chen, Hongyu Zhang, Yanli Wang, Daya Guo, Lun Du, Shi Han, Dongmei Zhang, Hongbin Sun

Proceedings of the IEEE/ACM Second International Conference on AI Foundation Models and Software Engineering, 2025

2024

DiffCoder: Enhancing Large Language Model on API Invocation via Analogical Code Exercises.

Daoguang Zan, Ailun Yu, Bo Shen, Bei Chen, Wei Li, Yongshun Gong, Xiaolin Chen, Yafen Yao, Weihua Luo, Bei Guan, Yan Liu, Yongji Wang, Qianxiang Wang, Lizhen Cui

Proc. ACM Softw. Eng., 2024

HumanEval-V: Evaluating Visual Understanding and Reasoning Abilities of Large Multimodal Models Through Coding Tasks.

Fengji Zhang, Linquan Wu, Huiyu Bai, Guancheng Lin, Xiao Li, Xiao Yu, Yue Wang, Bei Chen, Jacky Keung

CoRR, 2024

2023

SoTaNa: The Open-Source Software Development Assistant.

Ensheng Shi, Fengji Zhang, Yanlin Wang, Bei Chen, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun

CoRR, 2023

RepoCoder: Repository-Level Code Completion Through Iterative Retrieval and Generation.

Fengji Zhang, Bei Chen, Yue Zhang, Jin Liu, Daoguang Zan, Yi Mao, Jian-Guang Lou, Weizhu Chen

CoRR, 2023

CodeT: Code Generation with Generated Tests.

Bei Chen, Fengji Zhang, Anh Nguyen, Daoguang Zan, Zeqi Lin, Jian-Guang Lou, Weizhu Chen

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Does Deep Learning Learn to Abstract? A Systematic Probing Framework.

Shengnan An, Zeqi Lin, Bei Chen, Qiang Fu, Nanning Zheng, Jian-Guang Lou

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Question Answering as Programming for Solving Time-Sensitive Questions.

Xinyu Zhu, Cheng Yang, Bei Chen, Siheng Li, Jian-Guang Lou, Yujiu Yang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

RepoCoder: Repository-Level Code Completion Through Iterative Retrieval and Generation.

Fengji Zhang, Bei Chen, Yue Zhang, Jacky Keung, Jin Liu, Daoguang Zan, Yi Mao, Jian-Guang Lou, Weizhu Chen

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Skill-Based Few-Shot Selection for In-Context Learning.

Shengnan An, Bo Zhou, Zeqi Lin, Qiang Fu, Bei Chen, Nanning Zheng, Weizhu Chen, Jian-Guang Lou

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Large Language Models Meet NL2Code: A Survey.

Daoguang Zan, Bei Chen, Fengji Zhang, Dianjie Lu, Bingchao Wu, Bei Guan, Yongji Wang, Jian-Guang Lou

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Making Language Models Better Reasoners with Step-Aware Verifier.

Yifei Li, Zeqi Lin, Shizhuo Zhang, Qiang Fu, Bei Chen, Jian-Guang Lou, Weizhu Chen

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

How Do In-Context Examples Affect Compositional Generalization?

Shengnan An, Zeqi Lin, Qiang Fu, Bei Chen, Nanning Zheng, Jian-Guang Lou, Dongmei Zhang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

When Neural Model Meets NL2Code: A Survey.

Daoguang Zan, Bei Chen, Fengji Zhang, Dianjie Lu, Bingchao Wu, Bei Guan, Yongji Wang, Jian-Guang Lou

CoRR, 2022

On the Advance of Making Language Models Better Reasoners.

Yifei Li, Zeqi Lin, Shizhuo Zhang, Qiang Fu, Bei Chen, Jian-Guang Lou, Weizhu Chen

CoRR, 2022

DialogZoo: Large-Scale Dialog-Oriented Task Learning.

Zhi Chen, Jijia Bao, Lu Chen, Yuncong Liu, Da Ma, Bei Chen, Mengyue Wu, Su Zhu, Jian-Guang Lou, Kai Yu

CoRR, 2022

Input-Tuning: Adapting Unfamiliar Inputs to Frozen Pretrained Models.

Shengnan An, Yifei Li, Zeqi Lin, Qian Liu, Bei Chen, Qiang Fu, Weizhu Chen, Nanning Zheng, Jian-Guang Lou

CoRR, 2022

LEMON: Language-Based Environment Manipulation via Execution-Guided Pre-training.

Qi Shi, Qian Liu, Bei Chen, Yu Zhang, Ting Liu, Jian-Guang Lou

CoRR, 2022

UniDU: Towards A Unified Generative Dialogue Understanding Framework.

Zhi Chen, Lu Chen, Bei Chen, Libo Qin, Yuncong Liu, Su Zhu, Jian-Guang Lou, Kai Yu

Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2022

CERT: Continual Pre-training on Sketches for Library-oriented Code Generation.

Daoguang Zan, Bei Chen, Dejian Yang, Zeqi Lin, Minsu Kim, Bei Guan, Yongji Wang, Weizhu Chen, Jian-Guang Lou

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

TAPEX: Table Pre-training via Learning a Neural SQL Executor.

Qian Liu, Bei Chen, Jiaqi Guo, Morteza Ziyadi, Zeqi Lin, Weizhu Chen, Jian-Guang Lou

Proceedings of the Tenth International Conference on Learning Representations, 2022

When Language Model Meets Private Library.

Daoguang Zan, Bei Chen, Zeqi Lin, Bei Guan, Yongji Wang, Jian-Guang Lou

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Reasoning Like Program Executors.

Xinyu Pi, Qian Liu, Bei Chen, Morteza Ziyadi, Zeqi Lin, Qiang Fu, Yan Gao, Jian-Guang Lou, Weizhu Chen

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

AdapterShare: Task Correlation Modeling with Adapter Differentiation.

Zhi Chen, Bei Chen, Lu Chen, Kai Yu, Jian-Guang Lou

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

LEMON: Language-Based Environment Manipulation via Execution-Guided Pre-training.

Qi Shi, Qian Liu, Bei Chen, Yu Zhang, Ting Liu, Jian-Guang Lou

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

Keep the Structure: A Latent Shift-Reduce Parser for Semantic Parsing.

Yuntao Li, Bei Chen, Qian Liu, Yan Gao, Jian-Guang Lou, Yan Zhang, Dongmei Zhang

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Learning Algebraic Recombination for Compositional Generalization.

Chenyao Liu, Shengnan An, Zeqi Lin, Qian Liu, Bei Chen, Jian-Guang Lou, Lijie Wen, Nanning Zheng, Dongmei Zhang

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Revisiting Iterative Back-Translation from the Perspective of Compositional Generalization.

Yinuo Guo, Hualei Zhu, Zeqi Lin, Bei Chen, Jian-Guang Lou, Dongmei Zhang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Text-to-Viz: Automatic Generation of Infographics from Proportion-Related Natural Language Statements.

Weiwei Cui, Xiaoyu Zhang, Yun Wang, He Huang, Bei Chen, Lei Fang, Haidong Zhang, Jian-Guang Lou, Dongmei Zhang

IEEE Trans. Vis. Comput. Graph., 2020

Compositional Generalization by Learning Analytical Expressions.

Qian Liu, Shengnan An, Jian-Guang Lou, Bei Chen, Zeqi Lin, Yan Gao, Bin Zhou, Nanning Zheng, Dongmei Zhang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

RECPARSER: A Recursive Semantic Parsing Framework for Text-to-SQL Task.

Yu Zeng, Yan Gao, Jiaqi Guo, Bei Chen, Qian Liu, Jian-Guang Lou, Fei Teng, Dongmei Zhang

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

How Far are We from Effective Context Modeling? An Exploratory Study on Semantic Parsing in Context.

Qian Liu, Bei Chen, Jiaqi Guo, Jian-Guang Lou, Bin Zhou, Dongmei Zhang

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

A Spatial Missing Value Imputation Method for Multi-view Urban Statistical Data.

Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Bei Chen, Xiangjun Dong

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Incomplete Utterance Rewriting as Semantic Segmentation.

Qian Liu, Bei Chen, Jian-Guang Lou, Bin Zhou, Dongmei Zhang

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

"What Do You Mean by That?" A Parser-Independent Interactive Approach for Enhancing Text-to-SQL.

Yuntao Li, Bei Chen, Qian Liu, Yan Gao, Jian-Guang Lou, Yan Zhang, Dongmei Zhang

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

You Impress Me: Dialogue Generation via Mutual Persona Perception.

Qian Liu, Yihong Chen, Bei Chen, Jian-Guang Lou, Zixuan Chen, Bin Zhou, Dongmei Zhang

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

LambdaOpt: Learn to Regularize Recommender Models in Finer Levels.

Yihong Chen, Bei Chen, Xiangnan He, Chen Gao, Yong Li, Jian-Guang Lou, Yue Wang

CoRR, 2019

λOpt: Learn to Regularize Recommender Models in Finer Levels.

Yihong Chen, Bei Chen, Xiangnan He, Chen Gao, Yong Li, Jian-Guang Lou, Yue Wang

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Leveraging Adjective-Noun Phrasing Knowledge for Comparison Relation Prediction in Text-to-SQL.

Haoyan Liu, Lei Fang, Qian Liu, Bei Chen, Jian-Guang Lou, Zhoujun Li

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

A Split-and-Recombine Approach for Follow-up Query Analysis.

Qian Liu, Bei Chen, Haoyan Liu, Jian-Guang Lou, Lei Fang, Bin Zhou, Dongmei Zhang

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

FANDA: A Novel Approach to Perform Follow-Up Query Analysis.

Qian Liu, Bei Chen, Jian-Guang Lou, Ge Jin, Dongmei Zhang

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Learning-to-Ask: Knowledge Acquisition via 20 Questions.

Yihong Chen, Bei Chen, Xuguang Duan, Jian-Guang Lou, Yue Wang, Wenwu Zhu, Yong Cao

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018