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Representational Control over Self-Report & Behavior Coherence in LLM Risk-Taking

Kocielnik, Rafal et al.
arXiv (All) · Papers
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artificial-intelligencecomputation-and-languagecomputers-and-societyi-2-6i-2-7machine-learning
Self-report is an appealing low-cost probe of an LLM's dispositions, but recent work finds only selective agreement between what models report and how they behave. Prior accounts establish these patterns by prompting black-box LLMs, leaving open whether the gap is a prompting artefact or a fact abou
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