33 citations · 46 across the 4 of their papers we have counts for
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cs.CL2025★ 1 cited
Embedding-Driven Diversity Sampling to Improve Few-Shot Synthetic Data Generation
Ivan Lopez, Fateme Nateghi Haredasht, Kaitlin Caoili +2
Accurate classification of clinical text often requires fine-tuning pre-trained language models, a process that is costly and time-consuming due to the need for high-quality data a…
cs.CL2023★ 7 cited
Diagnostic Reasoning Prompts Reveal the Potential for Large Language Model Interpretability in Medicine
Thomas Savage, Ashwin Nayak, Robert Gallo +2
One of the major barriers to using large language models (LLMs) in medicine is the perception they use uninterpretable methods to make clinical decisions that are inherently differ…