SURGE: On the Potential of Large Language Models as General-Purpose Surrogate Code Executors 事件

SURGE: On the Potential of Large Language Models as General-Purpose Surrogate Code Executors arXiv:2502.11167v5 Announce Type: replace-cross Abstract: Neural surrogate models are powerful and efficient tools in data mining. Meanwhile, large language models (LLMs) have demonstrated remarkable capabilities in code-related tasks, such as generation and understanding. However, an equally important yet underexplored question is whether LLMs can serve as surrogate models for code execution prediction