Improving the Robustness of Large Language Models for Code Tasks via Fine-tuning with Perturbed Data

Yang Liu, Armstrong Foundjem, Xingfang Wu +2

Context: In the fast-paced evolution of software development, Large Language Models (LLMs) have become indispensable tools for tasks such as code generation, completion, analysis,…