61 citations · 218 across the 11 of their papers we have counts for
3 papers · 1 filter
Med-Flamingo: a Multimodal Medical Few-shot Learner
Michael Moor, Qian Huang, Shirley Wu +6
Medicine, by its nature, is a multifaceted domain that requires the synthesis of information across various modalities. Medical generative vision-language models (VLMs) make a firs…
Almanac: Retrieval-Augmented Language Models for Clinical Medicine
Cyril Zakka, Akash Chaurasia, Rohan Shad +11
Large-language models have recently demonstrated impressive zero-shot capabilities in a variety of natural language tasks such as summarization, dialogue generation, and question-a…
Zero-shot causal learning
Hamed Nilforoshan, Michael Moor, Yusuf Roohani +5
Predicting how different interventions will causally affect a specific individual is important in a variety of domains such as personalized medicine, public policy, and online mark…