Language models for code optimization: Survey, challenges and future directions

J Gong, V Voskanyan, P Brookes, F Wu, W Jie… - arxiv preprint arxiv …, 2025 - arxiv.org
Language models (LMs) built upon deep neural networks (DNNs) have recently
demonstrated breakthrough effectiveness in software engineering tasks like code …

COFFE: A Code Efficiency Benchmark for Code Generation

Y Peng, J Wan, Y Li, X Ren - arxiv preprint arxiv:2502.02827, 2025 - arxiv.org
Code generation has largely improved development efficiency in the era of large language
models (LLMs). With the ability to follow instructions, current LLMs can be prompted to …

Enhancing Trust in Language Model-Based Code Optimization through RLHF: A Research Design

J Gong - arxiv preprint arxiv:2502.06769, 2025 - arxiv.org
With the rapid advancement of AI, software engineering increasingly relies on AI-driven
approaches, particularly language models (LMs), to enhance code performance. However …