Unifying the Perspectives of NLP and Software Engineering: A Survey on Language Models for Code

arXiv:2311.07989v5 Announce Type: replace
Abstract: In this work we systematically review the recent advancements in code processing with language models, covering 50+ models, 30+ evaluation tasks, 170+ datasets, and 800 related works. We break down code processing models into general language models represented by the GPT family and specialized models that are specifically pretrained on code, often with tailored objectives. We discuss the relations and differences between these models, and highlight the historical transition of code modeling from statistical models …

arxiv code cs.ai cs.cl cs.se engineering language language models nlp perspectives software software engineering survey type