Incidental prompt cues induce large, systematic shifts in the algorithm families chosen by LLMs during code generation across thousands of controlled trials.
How diversely can language models solve problems? exploring the algorithmic diversity of model-generated code
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The Invisible Lottery: How Subtle Cues Steer Algorithm Choice in LLM Code Generation
Incidental prompt cues induce large, systematic shifts in the algorithm families chosen by LLMs during code generation across thousands of controlled trials.