165 citations · 329 across the 17 of their papers we have counts for
3 papers · 1 filter
Co-training Improves Prompt-based Learning for Large Language Models
Hunter Lang, Monica Agrawal, Yoon Kim +1
We demonstrate that co-training (Blum & Mitchell, 1998) can improve the performance of prompt-based learning by using unlabeled data. While prompting has emerged as a promising par…
CLIP: A Dataset for Extracting Action Items for Physicians from Hospital Discharge Notes
James Mullenbach, Yada Pruksachatkun, Sean Adler +6
Continuity of care is crucial to ensuring positive health outcomes for patients discharged from an inpatient hospital setting, and improved information sharing can help. To share i…
Robust Benchmarking for Machine Learning of Clinical Entity Extraction
Monica Agrawal, Chloe O'Connell, Yasmin Fatemi +2
Clinical studies often require understanding elements of a patient's narrative that exist only in free text clinical notes. To transform notes into structured data for downstream u…