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Found 4 papers, 1 papers with code
Conversations in Galician: a Large Language Model for an Underrepresented Language
Additionally, as a demonstration of the dataset utility, we fine-tuned LLaMA-7B to comprehend and respond in Galician, a language not originally supported by the model, by following the Alpaca format.
Explainable Depression Symptom Detection in Social Media
Recent research has pointed out the importance of using clinical markers, such as the use of symptoms, to improve trust in the computational models by health professionals.
DepreSym: A Depression Symptom Annotated Corpus and the Role of LLMs as Assessors of Psychological Markers
The eRisk initiative fosters research on this area and has recently proposed a new ranking task focused on developing search methods to find sentences related to depressive symptoms.
Semantic Similarity Models for Depression Severity Estimation
Depressive disorders constitute a severe public health issue worldwide.
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