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Self-reported archetypes and behavioral failures in Large Language Models

Prama, Tabia Tanzin et al.
arXiv (OAI Expanded) · Papers
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computation-and-languagephysics-and-society
Every large language model (LLM) has behavioral traits and moral preferences that comprise its character. Whether by design or as an emergent property of training, these systems exhibit persistent dispositions that shape how they interact, comply, resist, and err, yet the structure of LLM character
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