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cs.LG2025
MMSE-Calibrated Few-Shot Prompting for Alzheimer's Detection
Jana Sweidan, Mounim A. El-Yacoubi, Nasredine Semmar
Prompting large language models is a training-free method for detecting Alzheimer's disease from speech transcripts. Using the ADReSS dataset, we revisit zero-shot prompting and st…
cs.CL2025
Intent Recognition and Out-of-Scope Detection using LLMs in Multi-party Conversations
Galo Castillo-López, Gaël de Chalendar, Nasredine Semmar
Intent recognition is a fundamental component in task-oriented dialogue systems (TODS). Determining user intents and detecting whether an intent is Out-of-Scope (OOS) is crucial fo…