LLM performance on naturalistic reasoning tasks tracks performance on equivalent Python code simulation, but the effect is partly driven by pattern matching and memorization rather than faithful execution.
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Code Simulation as a Proxy for High-order Tasks in Large Language Models
LLM performance on naturalistic reasoning tasks tracks performance on equivalent Python code simulation, but the effect is partly driven by pattern matching and memorization rather than faithful execution.