Large Language Models (LLMs) have shown promise in multiple software
eng...
Code generation systems have been extensively developed in recent years ...
There has been a recent explosion of research on Large Language Models (...
Existing research mostly improves the fairness of Machine Learning (ML)
...
Prior studies have demonstrated the effectiveness of Deep Learning (DL) ...
Software systems are vulnerable to fairness bugs and frequently exhibit
...
This paper provides a comprehensive survey of bias mitigation methods fo...
Software bias is an increasingly important operational concern for softw...
With little to no parallel data available for programming languages,
uns...
This paper presents TransRepair, a fully automatic approach for testing ...
This paper provides a comprehensive survey of Machine Learning Testing (...
This paper introduces PMV (Perturbed Model Validation), a new technique ...