VocalGrad finds audio language models near chance on acoustic change
Human annotators score high on binary temporal-change classification while models stay near chance.
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Human annotators score high on binary temporal-change classification while models stay near chance.
A linear hidden-state direction encodes question impossibility in 1.7B-70B LLMs, but misalignment with the safety-refusal pathway explains why models answer unanswerable questions.
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