3 papers
cs.CL2026
Predicting Psychological Well-Being from Spontaneous Speech using LLMs
Erfan Loweimi, Sofia de la Fuente Garcia, Saturnino Luz
We investigate the use of Large Language Models (LLMs) for zero-shot prediction of Ryff Psychological Well-Being (PWB) scores from spontaneous speech. Using a few minutes of voice…
cs.CL2026
Can We Trust LLMs for Mental Health Screening? Consistency, ASR Robustness, and Evidence Faithfulness
Erfan Loweimi, Sofia de la Fuente Garcia, Samira Loveymi +2
LLMs can estimate Hospital Anxiety and Depression Scale (HADS) scores from speech in a zero-shot manner, but clinical deployment requires reliability across three dimensions: intra…
cs.CV2025
Dynamic Modality Scheduling for Multimodal Large Models via Confidence, Uncertainty, and Semantic Consistency
Hiroshi Tanaka, Anika Rao, Hana Satou +2
Multimodal Large Models (MLLMs) have achieved remarkable progress in vision-language understanding and generation tasks. However, existing MLLMs typically rely on static modality f…