7 citations · 10 across the 4 of their papers we have counts for
4 papers
Medical Adaptation of Large Language and Vision-Language Models: Are We Making Progress?
Daniel P. Jeong, Saurabh Garg, Zachary C. Lipton +1
Several recent works seek to develop foundation models specifically for medical applications, adapting general-purpose large language models (LLMs) and vision-language models (VLMs…
The Limited Impact of Medical Adaptation of Large Language and Vision-Language Models
Daniel P. Jeong, Pranav Mani, Saurabh Garg +2
Several recent works seek to adapt general-purpose large language models (LLMs) and vision-language models (VLMs) for medical applications through continued pretraining on publicly…
LLM-Select: Feature Selection with Large Language Models
Daniel P. Jeong, Zachary C. Lipton, Pradeep Ravikumar
In this paper, we demonstrate a surprising capability of large language models (LLMs): given only input feature names and a description of a prediction task, they are capable of se…
Bayesian Neural Networks with Domain Knowledge Priors
Dylan Sam, Rattana Pukdee, Daniel P. Jeong +2
Bayesian neural networks (BNNs) have recently gained popularity due to their ability to quantify model uncertainty. However, specifying a prior for BNNs that captures relevant doma…