Delving into Parameter-Efficient Fine-Tuning in Code Change Learning: An Empirical Study.
Shuo LiuJacky KeungZhen YangFang LiuQilin ZhouYihan LiaoPublished in: SANER (2024)
Keyphrases
- fine tuning
- learning systems
- active learning
- learning algorithm
- prior knowledge
- parameter values
- online learning
- incremental learning
- cost effective
- learning process
- learning phase
- inductive learning
- learning problems
- computationally expensive
- background knowledge
- unsupervised learning
- empirical studies
- source code
- general purpose
- state space