7.5k citations · 7.7k across the 12 of their papers we have counts for
12 papers
Using tournaments to calculate AUROC for zero-shot classification with LLMs
WonJin Yoon, Ian Bulovic, Timothy A. Miller
Large language models perform surprisingly well on many zero-shot classification tasks, but are difficult to fairly compare to supervised classifiers due to the lack of a modifiabl…
Aspect-Oriented Summarization for Psychiatric Short-Term Readmission Prediction
WonJin Yoon, Boyu Ren, Spencer Thomas +4
Recent progress in large language models (LLMs) has enabled the automated processing of lengthy documents even without supervised training on a task-specific dataset. Yet, their ze…
Biomedical NER for the Enterprise with Distillated BERN2 and the Kazu Framework
Wonjin Yoon, Richard Jackson, Elliot Ford +2
In order to assist the drug discovery/development process, pharmaceutical companies often apply biomedical NER and linking techniques over internal and public corpora. Decades of s…
Improving Tagging Consistency and Entity Coverage for Chemical Identification in Full-text Articles
Hyunjae Kim, Mujeen Sung, Wonjin Yoon +2
This paper is a technical report on our system submitted to the chemical identification task of the BioCreative VII Track 2 challenge. The main feature of this challenge is that th…
Sequence tagging for biomedical extractive question answering
Wonjin Yoon, Richard Jackson, Aron Lagerberg +1
Current studies in extractive question answering (EQA) have modeled the single-span extraction setting, where a single answer span is a label to predict for a given question-passag…
Pandemics are catalysts of scientific novelty: Evidence from COVID-19
Meijun Liu, Yi Bu, Chongyan Chen +14
Scientific novelty drives the efforts to invent new vaccines and solutions during the pandemic. First-time collaboration and international collaboration are two pivotal channels to…