Pre Trained Code Generation Model

Pre-trained code generation models aim to automate code writing from natural language descriptions or other inputs, improving programmer productivity and potentially democratizing software development. Current research focuses on overcoming limitations of autoregressive models by exploring alternative architectures like diffusion models, and improving model capabilities through techniques such as contrastive learning and data cleaning to enhance code understanding and generation accuracy. These advancements are significant because they address the need for more reliable, robust, and less biased code generation, impacting software engineering practices and accelerating the development of AI-assisted coding tools.