566 citations · 697 across the 7 of their papers we have counts for
4 papers · 1 filter
Fine-Tuning In-House Large Language Models to Infer Differential Diagnosis from Radiology Reports
Luoyao Chen, Revant Teotia, Antonio Verdone +4
Radiology reports summarize key findings and differential diagnoses derived from medical imaging examinations. The extraction of differential diagnoses is crucial for downstream ta…
BURExtract-Llama: An LLM for Clinical Concept Extraction in Breast Ultrasound Reports
Yuxuan Chen, Haoyan Yang, Hengkai Pan +6
Breast ultrasound is essential for detecting and diagnosing abnormalities, with radiology reports summarizing key findings like lesion characteristics and malignancy assessments. E…
StarSpace: Embed All The Things!
Ledell Wu, Adam Fisch, Sumit Chopra +3
We present StarSpace, a general-purpose neural embedding model that can solve a wide variety of problems: labeling tasks such as text classification, ranking tasks such as informat…
Training Language Models Using Target-Propagation
Sam Wiseman, Sumit Chopra, Marc'Aurelio Ranzato +4
While Truncated Back-Propagation through Time (BPTT) is the most popular approach to training Recurrent Neural Networks (RNNs), it suffers from being inherently sequential (making…