leveraging parameter-efficient fine-tuning with QLoRA for resource-efficient code summarization
analyzing readability, maintainability, security and efficiency characteristics of code generated by quantized models
optimizing training datasets to improve code summarization model performance and efficiency
systematic literature review and implementation of PEFT techniques for large code models
evaluating code models for cross-language programming tasks and generation
