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arXiv — cs.AI

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Propensities Please: Exposing Alignment-Faking LLMs using Synthetic Document Finetuning

arXiv:2610.33180v1 Announce Type: new Abstract: Alignment evaluations aim to assess whether large language models would engage in dangerous misaligned behaviour. Misaligned and evaluation-aware models might engage in alignment faking, where they pursue a hidden goal, but conceal…

arXiv — cs.AIBy: Ardy Haroen, Florian Lorkowski, Samuel Nellessen, Felix Hofst\"atterOctober 27, 2026 (yesterday)
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  • arXiv:2610.33180v1 Announce Type: new Abstract: Alignment evaluations aim to assess whether large language models would engage in dangerous misaligned behaviour
  • Misaligned and evaluation-aware models might engage in alignment faking, where they pursue a hidden goal, but conceal…
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Propensities Please: Exposing Alignment-Faking LLMs using Synthetic Document Finetuning

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