A speech LLM with a mixture of DoRA experts (MoDE) improves cross-task suicide risk detection accuracy (0.656 vs 0.635 joint tuning) and calibration on 1,223 Chinese adolescents across ten speech tasks, though the unseen-paradigm generalization claim is untested.
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Towards Paradigm-General Suicide Risk Detection via Speech LLM
A speech LLM with a mixture of DoRA experts (MoDE) improves cross-task suicide risk detection accuracy (0.656 vs 0.635 joint tuning) and calibration on 1,223 Chinese adolescents across ten speech tasks, though the unseen-paradigm generalization claim is untested.