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News/Consistency Without Alignment: Item-Sensitive Language Models Indistinguishable From Random
arxiv
PublishedSeptember 2, 2026 at 4:00 AM
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Consistency Without Alignment: Item-Sensitive Language Models Indistinguishable From Random

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arXiv:2609.00576v1 Announce Type: new Abstract: Item-sensitivity, defined as whether a model's choice depends on the specific input rather than on its own output prior, is widely reported as evidence of task competence. We show this evidence is necessary but not sufficient using a forced-choice sign

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