most citedMFTCoder: Boosting Code LLMs with Multitask Fine-Tuning

1 citations · 1 across the 1 of their papers we have counts for

collaborators

2 papers

cs.LG2023★ 1 cited

MFTCoder: Boosting Code LLMs with Multitask Fine-Tuning

Bingchang Liu, Chaoyu Chen, Cong Liao +9

Code LLMs have emerged as a specialized research field, with remarkable studies dedicated to enhancing model's coding capabilities through fine-tuning on pre-trained models. Previo…

cs.SE2023

CodeFuse-13B: A Pretrained Multi-lingual Code Large Language Model

Peng Di, Jianguo Li, Hang Yu +35

Code Large Language Models (Code LLMs) have gained significant attention in the industry due to their wide applications in the full lifecycle of software engineering. However, the…