3 papers
cs.CL2025
Comparative Analysis of LoRA-Adapted Embedding Models for Clinical Cardiology Text Representation
Richard J. Young, Alice M. Matthews
Domain-specific text embeddings are critical for clinical natural language processing, yet systematic comparisons across model architectures remain limited. This study evaluates te…
cs.CL2025
CardioEmbed: Domain-Specialized Text Embeddings for Clinical Cardiology
Richard J. Young, Alice M. Matthews
Biomedical text embeddings have primarily been developed using research literature from PubMed, yet clinical cardiology practice relies heavily on procedural knowledge and speciali…
cs.CL2025
When Models Can't Follow: Testing Instruction Adherence Across 256 LLMs
Richard J. Young, Brandon Gillins, Alice M. Matthews
Despite widespread deployment of Large Language Models, systematic evaluation of instruction-following capabilities remains challenging. While comprehensive benchmarks exist, focus…