AI RESEARCH
SURGE: On the Potential of Large Language Models as General-Purpose Surrogate Code Executors
arXiv CS.LG
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ArXi:2502.11167v5 Announce Type: replace Neural surrogate models are powerful and efficient tools in data mining. Meanwhile, large language models (LLMs) have nstrated 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. To systematically investigate it, we