Topic: psychological

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Recognition, Simulation, and Refusal: A Contamination-Aware Study of Classic Psychological Effects in LLM Agents

The study PsyAgentBench re-runs classic psychology experiments on LLMs to assess their susceptibility to human biases without attributing those biases directly to the models, highlighting the need for contamination-aware analysis. This matters as it provides a framework to understand and mitigate potential psychological effect mimicry in AI systems.

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