Daoguang Zan

Orcid: 0009-0009-4269-8543

According to our database¹, Daoguang Zan authored at least 24 papers between 2021 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2024

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

[BibT_eX]

[DOI]

Proc. ACM Softw. Eng., 2024

The Devil is in the Neurons: Interpreting and Mitigating Social Biases in Pre-trained Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

GraphCoder: Enhancing Repository-Level Code Completion via Code Context Graph-based Retrieval and Language Model.

[BibT_eX]

[DOI]

CoRR, 2024

CodeR: Issue Resolving with Multi-Agent and Task Graphs.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Improving Natural Language Capability of Code Large Language Model.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

The Devil is in the Neurons: Interpreting and Mitigating Social Biases in Language Models.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

CodeM: Less Data Yields More Versatility via Ability Matrix.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Can Programming Languages Boost Each Other via Instruction Tuning?

[BibT_eX]

[DOI]

CoRR, 2023

Private-Library-Oriented Code Generation with Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Uncovering and Quantifying Social Biases in Code Generation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

CodeT: Code Generation with Generated Tests.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

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

[BibT_eX]

[DOI]

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

Large Language Models Meet NL2Code: A Survey.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

CoRR, 2022

S<sup>2</sup>QL: Retrieval Augmented Zero-Shot Question Answering over Knowledge Graph.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2022

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

[BibT_eX]

[DOI]

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

When Language Model Meets Private Library.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Daoguang Zan

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