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Mimicry without understanding: the origins of decision bias in large language models

arXiv cs.CL ↗ · 2026-08-14 Cached

This paper investigates how LLMs like ChatGPT-4o and Qwen develop decision biases through faulty mimicry of human behavior, even when preferences are not biased, and shows that scientific descriptions of biases can become self-fulfilling prophecies for LLM responses.

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