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.
Dynamic-superb: Towards a dynamic, collaborative, and comprehensive instruction-tuning bench- mark for speech,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
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.