1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.CL2025★ 1 cited
KDH-MLTC: Knowledge Distillation for Healthcare Multi-Label Text Classification
Hajar Sakai, Sarah S. Lam
The increasing volume of healthcare textual data requires computationally efficient, yet highly accurate classification approaches able to handle the nuanced and complex nature of…
cs.CL2025
HAMLET: Healthcare-focused Adaptive Multilingual Learning Embedding-based Topic Modeling
Hajar Sakai, Sarah S. Lam
Traditional topic models often struggle with contextual nuances and fail to adequately handle polysemy and rare words. This limitation typically results in topics that lack coheren…
cs.CL2025
QUAD-LLM-MLTC: Large Language Models Ensemble Learning for Healthcare Text Multi-Label Classification
Hajar Sakai, Sarah S. Lam
The escalating volume of collected healthcare textual data presents a unique challenge for automated Multi-Label Text Classification (MLTC), which is primarily due to the scarcity…