Unlike vanilla contextual pre-trained fundamentally \textit{small} language models (e.g., ClinicalBERT), our interest lies in compressed and optimized approaches for language models in healthcare, developed as a resource-efficient and domain-specialized solution to LLMs.
☆32Apr 24, 2025Updated last year
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