Cross-Scale Transfer Learning for Depression Severity Prediction: From PHQ-8 to HAMD-17 Across Languages and Clinical Paradigms
A sequential low-rank adaptation protocol for cross-scale transfer that attains the best point-estimate MAE, RMSE, and macro-$F_1$ on both 0.6B and 1.7B backbones, outperforming target-only training and non-LLM baselines.
Wen-Jie Feng, Sahba Zojaji, Satoshi Nakamura
· 0 citations