Amira Abdalla

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

The notion that standard single-language fine-tuning does not afford much robustness when models are deployed across languages, especially in the EN → AR direction is supported, providing impetus for further research into new methods for adapting LLMs across multiple languages.