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• Few-shot training LLMs for project-specific code-summarization
  2022 · 214 citations
• NatGen: Generative pre-training by "Naturalizing" source code
  2022 · 99 citations
• Large Language Models and Simple, Stupid Bugs
  2023 · 51 citations
• Better patching using LLM prompting, via Self-Consistency
  2023 · 36 citations
• Extending Source Code Pre-Trained Language Models to Summarise Decompiled Binaries
  2023 · 28 citations
• Learning code summarization from a small and local dataset
  2022 · 6 citations
• SYNFIX: Automatically Fixing Syntax Errors using Compiler Diagnostics
  2021 · 3 citations
• Can LLMs Replace Manual Annotation of Software Engineering Artifacts?
  2024 · 3 citations
• Automatic Semantic Augmentation of Language Model Prompts (for Code Summarization)
  2023 · 2 citations
• Calibration of Large Language Models on Code Summarization
  2024 · 1 citations
• Review4Repair: Code Review Aided Automatic Program Repairing
  2020
• Calibration and Correctness of Language Models for Code
  2024
• Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation
  2024