An Empirical Study on Fine-Tuning Large Language Models of Code for Automated Program Repair.
Kai HuangXiangxin MengJian ZhangYang LiuWenjie WangShuhao LiYuqing ZhangPublished in: ASE (2023)
Keyphrases
- language model
- fine tuning
- language modeling
- fine tuned
- context sensitive
- n gram
- probabilistic model
- document retrieval
- viable alternative
- test collection
- language modelling
- speech recognition
- retrieval model
- information retrieval
- statistical language models
- query expansion
- source code
- fine tune
- query terms
- smoothing methods
- language models for information retrieval
- relevance model
- document ranking
- passage retrieval
- pseudo relevance feedback
- vector space model
- language model for information retrieval
- term dependencies
- query specific
- word error rate