Fine-tuned encoder-only models such as CodeBERT outperform zero-shot and few-shot LLMs at semantic line-level segmentation of R code, and a new annotated R dataset, StatCodeSeg, is introduced.
Monitor-guided decoding of code lms with static analysis of repository context
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Semantic Source Code Segmentation using Small and Large Language Models
Fine-tuned encoder-only models such as CodeBERT outperform zero-shot and few-shot LLMs at semantic line-level segmentation of R code, and a new annotated R dataset, StatCodeSeg, is introduced.