AIBearisharXiv – CS AI · Apr 106/10
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A Study of LLMs' Preferences for Libraries and Programming Languages
A new empirical study reveals that eight major LLMs exhibit systematic biases in code generation, overusing popular libraries like NumPy in 45% of cases and defaulting to Python even when unsuitable, prioritizing familiarity over task-specific optimality. The findings highlight gaps in current LLM evaluation methodologies and underscore the need for targeted improvements in training data diversity and benchmarking standards.