2 papers
cs.SE2026
On LLMs' Internal Representation of Code Correctness
Francisco Ribeiro, Claudio Spiess, Prem Devanbu +1
Despite the effectiveness of large language models (LLMs) for code generation, they often output incorrect code. One reason is that model output probabilities are often not well-co…
cs.SE2025
Detecting and Fixing API Misuses of Data Science Libraries Using Large Language Models
Akalanka Galappaththi, Francisco Ribeiro, Sarah Nadi
Data science libraries, such as scikit-learn and pandas, specialize in processing and manipulating data. The data-centric nature of these libraries makes the detection of API misus…