A diagnostic ladder shows that speech LMs lose emotion accuracy both at the decision rule over option logits and at the readout from hidden states, and that hidden-state emotion information exists but is rarely used in answers.
Sd-eval: A benchmark dataset for spoken dialogue under- standing beyond words,
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Separating Decision-Rule Misalignment from Readout-Coverage Limitations in Speech Language Models
A diagnostic ladder shows that speech LMs lose emotion accuracy both at the decision rule over option logits and at the readout from hidden states, and that hidden-state emotion information exists but is rarely used in answers.