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 014; Weiran Xu (EMNLP (1), 2021)

When Language Model Meets Private Library. - Daoguang Zan; Bei Chen; Zeqi Lin; Bei Guan; Yongji Wang 002; Jian-Guang Lou (EMNLP (Findings), 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 002; Weizhu Chen; Jian-Guang Lou (IJCAI, 2022)

Complex Question Answering over Incomplete Knowledge Graph as N-ary Link Prediction. - Daoguang Zan; Sirui Wang; Hongzhi Zhang; Kun Zhou 002; Wei Wu 014; Wayne Xin Zhao; Bingchao Wu; Bei Guan; Yongji Wang 002 (IJCNN, 2022)

S2QL: Retrieval Augmented Zero-Shot Question Answering over Knowledge Graph. - Daoguang Zan; Sirui Wang; Hongzhi Zhang; Yuanmeng Yan; Wei Wu 014; Bei Guan; Yongji Wang 002 (PAKDD (3), 2022)

When Neural Model Meets NL2Code: A Survey. - Daoguang Zan; Bei Chen; Fengji Zhang; Dianjie Lu; Bingchao Wu; Bei Guan; Yongji Wang 002; Jian-Guang Lou (CoRR, 2022)

Large Language Models Meet NL2Code: A Survey. - Daoguang Zan; Bei Chen; Fengji Zhang; Dianjie Lu; Bingchao Wu; Bei Guan; Yongji Wang 002; Jian-Guang Lou (ACL (1), 2023)

RepoCoder: Repository-Level Code Completion Through Iterative Retrieval and Generation. - Fengji Zhang; Bei Chen; Yue Zhang; Jacky Keung; Jin Liu 016; Daoguang Zan; Yi Mao; Jian-Guang Lou; Weizhu Chen (EMNLP, 2023)

CodeT: Code Generation with Generated Tests. - Bei Chen; Fengji Zhang; Anh Nguyen; Daoguang Zan; Zeqi Lin; Jian-Guang Lou; Weizhu Chen (ICLR, 2023)

Hierarchical and Contrastive Representation Learning for Knowledge-Aware Recommendation. - Bingchao Wu; Yangyuxuan Kang; Daoguang Zan; Bei Guan; Yongji Wang 002 (ICME, 2023)

Uncovering and Quantifying Social Biases in Code Generation. - Yan Liu 002; Xiaokang Chen; Yan Gao 002; Zhe Su; Fengji Zhang; Daoguang Zan; Jian-Guang Lou; Pin-Yu Chen; Tsung-Yi Ho (NeurIPS, 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)

PanGu-Coder2: Boosting Large Language Models for Code with Ranking Feedback. - Bo Shen; Jiaxin Zhang 029; Taihong Chen; Daoguang Zan; Bing Geng; An Fu; Muhan Zeng; Ailun Yu; Jichuan Ji; Jingyang Zhao 003; Yuenan Guo; Qianxiang Wang (CoRR, 2023)

Can Programming Languages Boost Each Other via Instruction Tuning? - Daoguang Zan; Ailun Yu; Bo Shen; Jiaxin Zhang 029; Taihong Chen; Bing Geng; Bei Chen; Jichuan Ji; Yafen Yao; Yongji Wang; Qianxiang Wang (CoRR, 2023)

CodeM: Less Data Yields More Versatility via Ability Matrix. - Daoguang Zan; Ailun Yu; Wei Liu 007; Bo Shen; Shaoxin Lin; Yongshun Gong; Yafen Yao; Yan Liu; Bei Guan; Weihua Luo; Yongji Wang 002; Qianxiang Wang; et al. (ACL (Findings), 2024)

A GAN-Based Data Poisoning Framework Against Anomaly Detection in Vertical Federated Learning. - Xiaolin Chen; Daoguang Zan; Wei Li; Bei Guan; Yongji Wang (ICC, 2024)

The Devil is in the Neurons: Interpreting and Mitigating Social Biases in Language Models. - Yan Liu 002; Yu Liu; Xiaokang Chen; Pin-Yu Chen; Daoguang Zan; Min-Yen Kan; Tsung-Yi Ho (ICLR, 2024)

FIA-TE: Feature Inference Attack on Decision Tree Ensembles in Vertical Federated Learning. - Xiaolin Chen; Daoguang Zan; Wei Li; Bei Guan; Yongji Wang (ICME, 2024)

GraphCoder: Enhancing Repository-Level Code Completion via Coarse-to-fine Retrieval Based on Code Context Graph. - Wei Liu 189; Ailun Yu; Daoguang Zan; Bo Shen; Wei Zhang 004; Haiyan Zhao 001; Zhi Jin; Qianxiang Wang (ASE, 2024)

Improving Natural Language Capability of Code Large Language Model. - Wei Li; Daoguang Zan; Bei Guan; Ailun Yu; Xiaolin Chen; Yongji Wang (CoRR, 2024)

CodeS: Natural Language to Code Repository via Multi-Layer Sketch. - Daoguang Zan; Ailun Yu; Wei Liu 007; Dong Chen 015; Bo Shen; Wei Li; Yafen Yao; Yongshun Gong; Xiaolin Chen; Bei Guan; Zhiguang Yang; Yongji Wang 002; et al. (CoRR, 2024)

CodeR: Issue Resolving with Multi-Agent and Task Graphs. - Dong Chen 015; Shaoxin Lin; Muhan Zeng; Daoguang Zan; Jian-Gang Wang; Anton Cheshkov; Jun Sun 001; Hao Yu; Guoliang Dong; Artem Aliev; Jie Wang; Xiao Cheng; et al. (CoRR, 2024)

GraphCoder: Enhancing Repository-Level Code Completion via Code Context Graph-based Retrieval and Language Model. - Wei Liu 189; Ailun Yu; Daoguang Zan; Bo Shen; Wei Zhang 004; Haiyan Zhao 001; Zhi Jin; Qianxiang Wang (CoRR, 2024)

The Devil is in the Neurons: Interpreting and Mitigating Social Biases in Pre-trained Language Models. - Yan Liu 002; Yu Liu; Xiaokang Chen; Pin-Yu Chen; Daoguang Zan; Min-Yen Kan; Tsung-Yi Ho (CoRR, 2024)

SWE-bench-java: A GitHub Issue Resolving Benchmark for Java. - Daoguang Zan; Zhirong Huang; Ailun Yu; Shaoxin Lin; Yifan Shi; Wei Liu 007; Dong Chen 015; Zongshuai Qi; Hao Yu; Lei Yu; Dezhi Ran; Muhan Zeng; et al. (CoRR, 2024)

Towards a Unified View of Preference Learning for Large Language Models: A Survey. - Bofei Gao; Feifan Song 001; Yibo Miao; Zefan Cai; Zhe Yang 013; Liang Chen 024; Helan Hu; Runxin Xu; Qingxiu Dong; Ce Zheng; Wen Xiao; Ge Zhang 009; et al. (CoRR, 2024)

Elephant in the Room: Unveiling the Impact of Reward Model Quality in Alignment. - Yan Liu 002; Xiaoyuan Yi; Xiaokang Chen; Jing Yao; Jingwei Yi; Daoguang Zan; Zheng Liu 011; Xing Xie 001; Tsung-Yi Ho (CoRR, 2024)

Aligning CodeLLMs with Direct Preference Optimization. - Yibo Miao; Bofei Gao; Shanghaoran Quan; Junyang Lin; Daoguang Zan; Jiaheng Liu; Jian Yang 003; Tianyu Liu 001; Zhijie Deng (CoRR, 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 002; et al. (Proc. ACM Softw. Eng., 2024)

CodeV: Issue Resolving with Visual Data. - Linhao Zhang; Daoguang Zan; Quanshun Yang; Zhirong Huang; Dong Chen 015; Bo Shen; Tianyu Liu; Yongshun Gong; Pengjie Huang; Xudong Lu; Guangtai Liang; Lizhen Cui; et al. (ACL (Findings), 2025)

Omni-MATH: A Universal Olympiad Level Mathematic Benchmark for Large Language Models. - Bofei Gao; Feifan Song 001; Zhe Yang 013; Zefan Cai; Yibo Miao; Qingxiu Dong; Lei Li 039; Chenghao Ma; Liang Chen 024; Runxin Xu; Zhengyang Tang; Benyou Wang; et al. (ICLR, 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 002 (Knowl. Based Syst., 2025)

Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving. - Daoguang Zan; Zhirong Huang; Wei Liu; Hanwu Chen; Linhao Zhang; Shulin Xin; Lu Chen; Qi Liu; Xiaojian Zhong; Aoyan Li; Siyao Liu; Yongsheng Xiao; et al. (CoRR, 2025)

Seed-Coder: Let the Code Model Curate Data for Itself. - Yuyu Zhang; Jing Su; Yifan Sun; Chenguang Xi; Xia Xiao; Shen Zheng; Anxiang Zhang; Kaibo Liu; Daoguang Zan; Tao Sun; Jinhua Zhu; Shulin Xin; et al. (CoRR, 2025)