Daoguang Zan

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 27

Top Topics

Incomplete Knowledge

Code Generation

Top Venues

Publications

Yan Liu, Yu Liu, Xiaokang Chen, Pin-Yu Chen, Daoguang Zan, Min-Yen Kan, Tsung-Yi Ho
The Devil is in the Neurons: Interpreting and Mitigating Social Biases in Language Models. ICLR (2024)
Wei Li, Daoguang Zan, Bei Guan, Ailun Yu, Xiaolin Chen, Yongji Wang
Improving Natural Language Capability of Code Large Language Model. CoRR (2024)
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
DiffCoder: Enhancing Large Language Model on API Invocation via Analogical Code Exercises. Proc. ACM Softw. Eng. 1 (FSE) (2024)
Dong Chen, Shaoxin Lin, Muhan Zeng, Daoguang Zan, Jian-Gang Wang, Anton Cheshkov, Jun Sun, Hao Yu, Guoliang Dong, Artem Aliev, Jie Wang, Xiao Cheng, Guangtai Liang, Yuchi Ma, Pan Bian, Tao Xie, Qianxiang Wang
CodeR: Issue Resolving with Multi-Agent and Task Graphs. CoRR (2024)
Xiaolin Chen, Daoguang Zan, Wei Li, Bei Guan, Yongji Wang
A GAN-based data poisoning framework against anomaly detection in vertical federated learning. CoRR (2024)
Yan Liu, Yu Liu, Xiaokang Chen, Pin-Yu Chen, Daoguang Zan, Min-Yen Kan, Tsung-Yi Ho
The Devil is in the Neurons: Interpreting and Mitigating Social Biases in Pre-trained Language Models. CoRR (2024)
Wei Liu, Ailun Yu, Daoguang Zan, Bo Shen, Wei Zhang, Haiyan Zhao, Zhi Jin, Qianxiang Wang
GraphCoder: Enhancing Repository-Level Code Completion via Code Context Graph-based Retrieval and Language Model. CoRR (2024)
Daoguang Zan, Ailun Yu, Wei Liu, Dong Chen, Bo Shen, Wei Li, Yafen Yao, Yongshun Gong, Xiaolin Chen, Bei Guan, Zhiguang Yang, Yongji Wang, Qianxiang Wang, Lizhen Cui
CodeS: Natural Language to Code Repository via Multi-Layer Sketch. CoRR (2024)
Daoguang Zan, Ailun Yu, Wei Liu, Bo Shen, Shaoxin Lin, Yongshun Gong, Yafen Yao, Yan Liu, Bei Guan, Weihua Luo, Yongji Wang, Qianxiang Wang, Lizhen Cui
CodeM: Less Data Yields More Versatility via Ability Matrix. ACL (Findings) (2024)
Fengji Zhang, Bei Chen, Yue Zhang, Jacky Keung, Jin Liu, Daoguang Zan, Yi Mao, Jian-Guang Lou, Weizhu Chen
RepoCoder: Repository-Level Code Completion Through Iterative Retrieval and Generation. EMNLP (2023)
Daoguang Zan, Bei Chen, Yongshun Gong, Junzhi Cao, Fengji Zhang, Bingchao Wu, Bei Guan, Yilong Yin, Yongji Wang
Private-Library-Oriented Code Generation with Large Language Models. CoRR (2023)
Daoguang Zan, Ailun Yu, Bo Shen, Jiaxin Zhang, Taihong Chen, Bing Geng, Bei Chen, Jichuan Ji, Yafen Yao, Yongji Wang, Qianxiang Wang
Can Programming Languages Boost Each Other via Instruction Tuning? CoRR (2023)
Bo Shen, Jiaxin Zhang, Taihong Chen, Daoguang Zan, Bing Geng, An Fu, Muhan Zeng, Ailun Yu, Jichuan Ji, Jingyang Zhao, Yuenan Guo, Qianxiang Wang
PanGu-Coder2: Boosting Large Language Models for Code with Ranking Feedback. CoRR (2023)
Bingchao Wu, Yangyuxuan Kang, Daoguang Zan, Bei Guan, Yongji Wang
Hierarchical and Contrastive Representation Learning for Knowledge-aware Recommendation. CoRR (2023)
Bei Chen, Fengji Zhang, Anh Nguyen, Daoguang Zan, Zeqi Lin, Jian-Guang Lou, Weizhu Chen
CodeT: Code Generation with Generated Tests. ICLR (2023)
Daoguang Zan, Bei Chen, Fengji Zhang, Dianjie Lu, Bingchao Wu, Bei Guan, Yongji Wang, Jian-Guang Lou
Large Language Models Meet NL2Code: A Survey. ACL (1) (2023)
Yan Liu, Xiaokang Chen, Yan Gao, Zhe Su, Fengji Zhang, Daoguang Zan, Jian-Guang Lou, Pin-Yu Chen, Tsung-Yi Ho
Uncovering and Quantifying Social Biases in Code Generation. NeurIPS (2023)
Fengji Zhang, Bei Chen, Yue Zhang, Jin Liu, Daoguang Zan, Yi Mao, Jian-Guang Lou, Weizhu Chen
RepoCoder: Repository-Level Code Completion Through Iterative Retrieval and Generation. CoRR (2023)
Yan Liu, Xiaokang Chen, Yan Gao, Zhe Su, Fengji Zhang, Daoguang Zan, Jian-Guang Lou, Pin-Yu Chen, Tsung-Yi Ho
Uncovering and Quantifying Social Biases in Code Generation. CoRR (2023)
Bingchao Wu, Yangyuxuan Kang, Daoguang Zan, Bei Guan, Yongji Wang
Hierarchical and Contrastive Representation Learning for Knowledge-Aware Recommendation. ICME (2023)
Daoguang Zan, Bei Chen, Dejian Yang, Zeqi Lin, Minsu Kim, Bei Guan, Yongji Wang, Weizhu Chen, Jian-Guang Lou
CERT: Continual Pre-Training on Sketches for Library-Oriented Code Generation. CoRR (2022)
Daoguang Zan, Bei Chen, Zeqi Lin, Bei Guan, Yongji Wang, Jian-Guang Lou
When Language Model Meets Private Library. EMNLP (Findings) (2022)
Daoguang Zan, Bei Chen, Fengji Zhang, Dianjie Lu, Bingchao Wu, Bei Guan, Yongji Wang, Jian-Guang Lou
When Neural Model Meets NL2Code: A Survey. CoRR (2022)
Bei Chen, Fengji Zhang, Anh Nguyen, Daoguang Zan, Zeqi Lin, Jian-Guang Lou, Weizhu Chen
CodeT: Code Generation with Generated Tests. CoRR (2022)
Daoguang Zan, Bei Chen, Zeqi Lin, Bei Guan, Yongji Wang, Jian-Guang Lou
When Language Model Meets Private Library. CoRR (2022)
Daoguang Zan, Bei Chen, Dejian Yang, Zeqi Lin, Minsu Kim, Bei Guan, Yongji Wang, Weizhu Chen, Jian-Guang Lou
CERT: Continual Pre-training on Sketches for Library-oriented Code Generation. IJCAI (2022)
Daoguang Zan, Sirui Wang, Hongzhi Zhang, Kun Zhou, Wei Wu, Wayne Xin Zhao, Bingchao Wu, Bei Guan, Yongji Wang
Complex Question Answering over Incomplete Knowledge Graph as N-ary Link Prediction. IJCNN (2022)