107 citations · 290 across the 14 of their papers we have counts for
Showing 2023Show all
3 papers · 1 filter
cs.CL2023★ 16 cited
Distilling Large Language Models for Biomedical Knowledge Extraction: A Case Study on Adverse Drug Events
Yu Gu, Sheng Zhang, Naoto Usuyama +8
Large language models (LLMs), such as GPT-4, have demonstrated remarkable capabilities across a wide range of tasks, including health applications. In this paper, we study how LLMs…
cs.CL2023★ 1 cited
Pareto Optimal Learning for Estimating Large Language Model Errors
Theodore Zhao, Mu Wei, J. Samuel Preston +1
Large Language Models (LLMs) have shown impressive abilities in many applications. When a concrete and precise answer is desired, it is important to have a quantitative estimation…
cs.CV2023★ 102 cited
BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs
Sheng Zhang, Yanbo Xu, Naoto Usuyama +21
Biomedical data is inherently multimodal, comprising physical measurements and natural language narratives. A generalist biomedical AI model needs to simultaneously process differe…