MFTCoder: Boosting Code LLMs with Multitask Fine-Tuning

Author:

Liu Bingchang1ORCID,Chen Chaoyu1ORCID,Gong Zi1ORCID,Liao Cong1ORCID,Wang Huan1ORCID,Lei Zhichao1ORCID,Liang Ming1ORCID,Chen Dajun1ORCID,Shen Min1ORCID,Zhou Hailian1ORCID,Jiang Wei1ORCID,Yu Hang1ORCID,Li Jianguo1ORCID

Affiliation:

1. Ant Group, Hangzhou, China

Publisher

ACM

Reference63 articles.

1. Armen Aghajanyan, Anchit Gupta, Akshat Shrivastava, Xilun Chen, Luke Zettlemoyer, and Sonal Gupta. 2021. Muppet: Massive Multi-task Representations with Pre-Finetuning. arxiv: 2101.11038 [cs.CL]

2. Loubna Ben Allal Raymond Li Denis Kocetkov et al. 2023. SantaCoder: don't reach for the stars!arxiv: 2301.03988 [cs.SE]

3. Rohan Anil Andrew M. Dai Orhan Firat et al. 2023. PaLM 2 Technical Report. arxiv: 2305.10403 [cs.CL]

4. Anthropic. 2023. Model Card and Evaluations for Claude Models. https://www-files.anthropic.com/production/images/Model-Card-Claude-2.pdf

5. Vamsi Aribandi, Yi Tay, Tal Schuster, Jinfeng Rao, Huaixiu Steven Zheng, Sanket Vaibhav Mehta, Honglei Zhuang, Vinh Q. Tran, Dara Bahri, Jianmo Ni, Jai Gupta, Kai Hui, Sebastian Ruder, and Donald Metzler. 2022. ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning. arxiv: 2111.10952 [cs.CL]

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