Collaborative explainable ai for EEG mental health monitoring with constrained QA-Tuned LLM alignment
This study proposes a collaborative explainable AI framework for EEG mental health monitoring with constrained question-and-answer (QA) tuned LLM alignment, which builds a smooth transformation path from raw EEG signals to evidence, and constructs a structured QA dataset for the instruction fine-tuning of LLMs.