3 citations · 4 across the 6 of their papers we have counts for
3 papers · 1 filter
Can LLMs Replace Humans During Code Chunking?
Christopher Glasz, Emily Escamilla, Eric O. Scott +14
Large language models (LLMs) have become essential tools in computer science, especially for tasks involving code understanding and generation. However, existing work does not addr…
Impact of Comments on LLM Comprehension of Legacy Code
Rock Sabetto, Emily Escamilla, Devesh Agarwal +18
Large language models (LLMs) have been increasingly integrated into software engineering and maintenance tasks due to their high performance with software engineering tasks and rob…
Testing the Effect of Code Documentation on Large Language Model Code Understanding
William Macke, Michael Doyle
Large Language Models (LLMs) have demonstrated impressive abilities in recent years with regards to code generation and understanding. However, little work has investigated how doc…