1. Extracting self-consistent causal insights from users feedback with LLMs and in-context learning;Abdali,2023
2. A transformer-based approach for source code summarization;Ahmad,2020
3. Few-shot training LLMs for project-specific code-summarization;Ahmed,2022
4. Improving few-shot prompts with relevant static analysis products;Ahmed,2023
5. Exploring distributional shifts in large language models for code analysis;Arakelyan,2023