Zi Gong

Orcid: 0009-0007-7142-8433

According to our database1, Zi Gong authored at least 10 papers between 2022 and 2025.

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Bibliography

2025
Every Sample Matters: Leveraging Mixture-of-Experts and High-Quality Data for Efficient and Accurate Code LLM.
CoRR, March, 2025

Rodimus*: Breaking the Accuracy-Efficiency Trade-Off with Efficient Attentions.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
Unifying the Perspectives of NLP and Software Engineering: A Survey on Language Models for Code.
Trans. Mach. Learn. Res., 2024

MFTCoder: Boosting Code LLMs with Multitask Fine-Tuning.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

CodeFuse-13B: A Pretrained Multi-lingual Code Large Language Model.
Proceedings of the 46th International Conference on Software Engineering: Software Engineering in Practice, 2024

CoBa: Convergence Balancer for Multitask Finetuning of Large Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023
A Survey on Language Models for Code.
CoRR, 2023

MFTCoder: Boosting Code LLMs with Multitask Fine-Tuning.
CoRR, 2023

2022
MultiCoder: Multi-Programming-Lingual Pre-Training for Low-Resource Code Completion.
CoRR, 2022

Source Code Summarization with Structural Relative Position Guided Transformer.
Proceedings of the IEEE International Conference on Software Analysis, 2022


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