Daoguang Zan

According to our database, Daoguang Zan authored at least 19 papers between 2021 and 2024.

Collaborative distances:

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

2024

CodeS: Natural Language to Code Repository via Multi-Layer Sketch.

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

CoRR, 2024

Improving Natural Language Capability of Code Large Language Model.

Wei Li, Daoguang Zan, Bei Guan, Ailun Yu, Xiaolin Chen, Yongji Wang

CoRR, 2024

A GAN-based data poisoning framework against anomaly detection in vertical federated learning.

Xiaolin Chen, Daoguang Zan, Wei Li, Bei Guan, Yongji Wang

CoRR, 2024

2023

Can Programming Languages Boost Each Other via Instruction Tuning?

Daoguang Zan, Ailun Yu, Bo Shen, Jiaxin Zhang, Taihong Chen, Bing Geng, Bei Chen, Jichuan Ji, Yafen Yao, Yongji Wang, Qianxiang Wang

CoRR, 2023

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

CoRR, 2023

PanGu-Coder2: Boosting Large Language Models for Code with Ranking Feedback.

Bo Shen, Jiaxin Zhang, Taihong Chen, Daoguang Zan, Bing Geng, An Fu, Muhan Zeng, Ailun Yu, Jichuan Ji, Jingyang Zhao, Yuenan Guo, Qianxiang Wang

CoRR, 2023

Uncovering and Quantifying Social Biases in Code Generation.

Yan Liu, Xiaokang Chen, Yan Gao, Zhe Su, Fengji Zhang, Daoguang Zan, Jian-Guang Lou, Pin-Yu Chen, Tsung-Yi Ho

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

Uncovering and Quantifying Social Biases in Code Generation.

Yan Liu, Xiaokang Chen, Yan Gao, Zhe Su, Fengji Zhang, Daoguang Zan, Jian-Guang Lou, Pin-Yu Chen, Tsung-Yi Ho

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Hierarchical and Contrastive Representation Learning for Knowledge-Aware Recommendation.

Bingchao Wu, Yangyuxuan Kang, Daoguang Zan, Bei Guan, Yongji Wang

Proceedings of the IEEE International Conference on Multimedia and Expo, 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

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

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

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

S²QL: Retrieval Augmented Zero-Shot Question Answering over Knowledge Graph.

Daoguang Zan, Sirui Wang, Hongzhi Zhang, Yuanmeng Yan, Wei Wu, Bei Guan, Yongji Wang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Complex Question Answering over Incomplete Knowledge Graph as N-ary Link Prediction.

Daoguang Zan, Sirui Wang, Hongzhi Zhang, Kun Zhou, Wei Wu, Wayne Xin Zhao, Bingchao Wu, Bei Guan, Yongji Wang

Proceedings of the International Joint Conference on Neural Networks, 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

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

2021

Large-Scale Relation Learning for Question Answering over Knowledge Bases with Pre-trained Language Models.

Yuanmeng Yan, Rumei Li, Sirui Wang, Hongzhi Zhang, Daoguang Zan, Fuzheng Zhang, Wei Wu, Weiran Xu

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021