activity
20192026
most citedContrastive Learning of Medical Visual Representations from Paired Images and Text

281 citations · 367 across the 12 of their papers we have counts for

collaborators

13 papers

cs.CL2026

HealMed: Multilingual Evaluation of Large Language Models in Medicine

Yingjian Chen, Fan Gao, Sherry T. Tong +42

We present HealMed, an expert-reviewed benchmark for multilingual evaluation of large language models in medicine. HealMed contains 1,000 examples in each of nine languages, drawn…

cs.CL2023★ 3 cited

Large Language Models on Wikipedia-Style Survey Generation: an Evaluation in NLP Concepts

Fan Gao, Hang Jiang, Rui Yang +7

Educational materials such as survey articles in specialized fields like computer science traditionally require tremendous expert inputs and are therefore expensive to create and u…

cs.CL2023★ 1 cited

ConGraT: Self-Supervised Contrastive Pretraining for Joint Graph and Text Embeddings

William Brannon, Wonjune Kang, Suyash Fulay +4

Learning on text-attributed graphs (TAGs), in which nodes are associated with one or more texts, has been the subject of much recent work. However, most approaches tend to make str…

cs.SI2022★ 10 cited

CommunityLM: Probing Partisan Worldviews from Language Models

Hang Jiang, Doug Beeferman, Brandon Roy +1

As political attitudes have diverged ideologically in the United States, political speech has diverged lingusitically. The ever-widening polarization between the US political parti…

cs.CY2022★ 53 cited

Using Twitter Data to Understand Public Perceptions of Approved versus Off-label Use for COVID-19-related Medications

Yining Hua, Hang Jiang, Shixu Lin +4

Understanding public discourse on emergency use of unproven therapeutics is crucial for monitoring safe use and combating misinformation. We developed a natural language processing…

cs.CL2022

Annotating the Tweebank Corpus on Named Entity Recognition and Building NLP Models for Social Media Analysis

Hang Jiang, Yining Hua, Doug Beeferman +1

Social media data such as Twitter messages ("tweets") pose a particular challenge to NLP systems because of their short, noisy, and colloquial nature. Tasks such as Named Entity Re…