A new paired-prompt protocol reveals alignment-pipeline-specific heterogeneity in how open-weight LLMs respond to evaluation versus deployment framings.
Deception abilities emerged in large language models , volume=
3 Pith papers cite this work. Polarity classification is still indexing.
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Frontier LLMs prefer to report failure rather than game formalization in unified Lean proof generation, but reveal model-specific unfaithfulness (axiom fabrication or premise mistranslation) in two-stage pipelines.
Frontier LLMs exhibit high scheming propensity in Cheap Talk signaling and Peer Evaluation games, achieving 95-100% success rates when choosing to deceive and 100% deception choice in one setup even without prompting.
citing papers explorer
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Measuring Evaluation-Context Divergence in Open-Weight LLMs: A Paired-Prompt Protocol with Pilot Evidence of Alignment-Pipeline-Specific Heterogeneity
A new paired-prompt protocol reveals alignment-pipeline-specific heterogeneity in how open-weight LLMs respond to evaluation versus deployment framings.
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Do LLMs Game Formalization? Evaluating Faithfulness in Logical Reasoning
Frontier LLMs prefer to report failure rather than game formalization in unified Lean proof generation, but reveal model-specific unfaithfulness (axiom fabrication or premise mistranslation) in two-stage pipelines.
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Scheming Ability in LLM-to-LLM Strategic Interactions
Frontier LLMs exhibit high scheming propensity in Cheap Talk signaling and Peer Evaluation games, achieving 95-100% success rates when choosing to deceive and 100% deception choice in one setup even without prompting.