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2020 – today
- 2024
[j1]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): 406-426 (2024)- [c14]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: 714-729 - [c13]Xiaolin Chen, Daoguang Zan, Wei Li, Bei Guan, Yongji Wang:
A GAN-Based Data Poisoning Framework Against Anomaly Detection in Vertical Federated Learning. ICC 2024: 3982-3987 - [c12]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 - [c11]Xiaolin Chen, Daoguang Zan, Wei Li, Bei Guan, Yongji Wang:
FIA-TE: Feature Inference Attack on Decision Tree Ensembles in Vertical Federated Learning. ICME 2024: 1-6 - [i19]Xiaolin Chen, Daoguang Zan, Wei Li, Bei Guan, Yongji Wang:
A GAN-based data poisoning framework against anomaly detection in vertical federated learning. CoRR abs/2401.08984 (2024) - [i18]Wei Li, Daoguang Zan, Bei Guan, Ailun Yu, Xiaolin Chen, Yongji Wang:
Improving Natural Language Capability of Code Large Language Model. CoRR abs/2401.14242 (2024) - [i17]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 abs/2403.16443 (2024) - [i16]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 abs/2406.01304 (2024) - [i15]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 abs/2406.07003 (2024) - [i14]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 abs/2406.10130 (2024) - [i13]Daoguang Zan, Zhirong Huang, Ailun Yu, Shaoxin Lin, Yifan Shi, Wei Liu, Dong Chen, Zongshuai Qi, Hao Yu, Lei Yu, Dezhi Ran, Muhan Zeng, Bo Shen, Pan Bian, Guangtai Liang, Bei Guan, Pengjie Huang, Tao Xie, Yongji Wang, Qianxiang Wang:
SWE-bench-java: A GitHub Issue Resolving Benchmark for Java. CoRR abs/2408.14354 (2024) - [i12]Bofei Gao, Feifan Song, Yibo Miao, Zefan Cai, Zhe Yang, Liang Chen, Helan Hu, Runxin Xu, Qingxiu Dong, Ce Zheng, Wen Xiao, Ge Zhang, Daoguang Zan, Keming Lu, Bowen Yu, Dayiheng Liu, Zeyu Cui, Jian Yang, Lei Sha, Houfeng Wang, Zhifang Sui, Peiyi Wang, Tianyu Liu, Baobao Chang:
Towards a Unified View of Preference Learning for Large Language Models: A Survey. CoRR abs/2409.02795 (2024) - [i11]Yan Liu, Xiaoyuan Yi, Xiaokang Chen, Jing Yao, Jingwei Yi, Daoguang Zan, Zheng Liu, Xing Xie, Tsung-Yi Ho:
Elephant in the Room: Unveiling the Impact of Reward Model Quality in Alignment. CoRR abs/2409.19024 (2024) - 2023
- [c10]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: 7443-7464 - [c9]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: 2471-2484 - [c8]Bei Chen, Fengji Zhang, Anh Nguyen, Daoguang Zan, Zeqi Lin, Jian-Guang Lou, Weizhu Chen:
CodeT: Code Generation with Generated Tests. ICLR 2023 - [c7]Bingchao Wu, Yangyuxuan Kang, Daoguang Zan, Bei Guan, Yongji Wang:
Hierarchical and Contrastive Representation Learning for Knowledge-Aware Recommendation. ICME 2023: 1050-1055 - [c6]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 - [i10]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 abs/2303.12570 (2023) - [i9]Bingchao Wu, Yangyuxuan Kang, Daoguang Zan, Bei Guan, Yongji Wang:
Hierarchical and Contrastive Representation Learning for Knowledge-aware Recommendation. CoRR abs/2304.07506 (2023) - [i8]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 abs/2305.15377 (2023) - [i7]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 abs/2307.14936 (2023) - [i6]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 abs/2307.15370 (2023) - [i5]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 abs/2308.16824 (2023) - 2022
- [c5]Daoguang Zan, Bei Chen, Zeqi Lin, Bei Guan, Yongji Wang, Jian-Guang Lou:
When Language Model Meets Private Library. EMNLP (Findings) 2022: 277-288 - [c4]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: 2369-2375 - [c3]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: 1-8 - [c2]Daoguang Zan, Sirui Wang, Hongzhi Zhang, Yuanmeng Yan, Wei Wu, Bei Guan, Yongji Wang:
S2QL: Retrieval Augmented Zero-Shot Question Answering over Knowledge Graph. PAKDD (3) 2022: 223-236 - [i4]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 abs/2206.06888 (2022) - [i3]Bei Chen, Fengji Zhang, Anh Nguyen, Daoguang Zan, Zeqi Lin, Jian-Guang Lou, Weizhu Chen:
CodeT: Code Generation with Generated Tests. CoRR abs/2207.10397 (2022) - [i2]Daoguang Zan, Bei Chen, Zeqi Lin, Bei Guan, Yongji Wang, Jian-Guang Lou:
When Language Model Meets Private Library. CoRR abs/2210.17236 (2022) - [i1]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 abs/2212.09420 (2022) - 2021
- [c1]Yuanmeng Yan, Rumei Li, Sirui Wang, Hongzhi Zhang, Daoguang Zan, Fuzheng Zhang, Wei Wu, Weiran Xu:
Large-Scale Relation Learning for Question Answering over Knowledge Bases with Pre-trained Language Models. EMNLP (1) 2021: 3653-3660
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