Amira Abdalla

A train-once, evaluate-twice protocol for cross-lingual depression detection with large language models

Depression affects more than 280 million people worldwide, and social media text provides a large-scale resource for automated mental health assessment. Large language model (LLM)-based approaches have shown promising performance for social media-based depression detection; however, their cross-lingual robustness for...