54 citations · 75 across the 3 of their papers we have counts for
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cs.CL2024★ 2 cited
SelfCodeAlign: Self-Alignment for Code Generation
Yuxiang Wei, Federico Cassano, Jiawei Liu +7
Instruction tuning is a supervised fine-tuning approach that significantly improves the ability of large language models (LLMs) to follow human instructions. We propose SelfCodeAli…
cs.CL2024★ 2 cited
Astraios: Parameter-Efficient Instruction Tuning Code Large Language Models
Terry Yue Zhuo, Armel Zebaze, Nitchakarn Suppattarachai +4
The high cost of full-parameter fine-tuning (FFT) of Large Language Models (LLMs) has led to a series of parameter-efficient fine-tuning (PEFT) methods. However, it remains unclear…