activity
20202025
most citedDo We Still Need Clinical Language Models?

50 citations · 125 across the 8 of their papers we have counts for

collaborators

8 papers

q-bio.QM2025

BioVERSE: Representation Alignment of Biomedical Modalities to LLMs for Multi-Modal Reasoning

Ching-Huei Tsou, Michal Ozery-Flato, Ella Barkan +2

Recent advances in large language models (LLMs) and biomedical foundation models (BioFMs) have achieved strong results in biological text reasoning, molecular modeling, and single-…

cs.CL2023

MISMATCH: Fine-grained Evaluation of Machine-generated Text with Mismatch Error Types

Keerthiram Murugesan, Sarathkrishna Swaminathan, Soham Dan +9

With the growing interest in large language models, the need for evaluating the quality of machine text compared to reference (typically human-generated) text has become focal atte…

cs.CL2023★ 50 cited

Do We Still Need Clinical Language Models?

Eric Lehman, Evan Hernandez, Diwakar Mahajan +7

Although recent advances in scaling large language models (LLMs) have resulted in improvements on many NLP tasks, it remains unclear whether these models trained primarily with gen…

cs.CL2022★ 18 cited

Extracting Medication Changes in Clinical Narratives using Pre-trained Language Models

Giridhar Kaushik Ramachandran, Kevin Lybarger, Yaya Liu +5

An accurate and detailed account of patient medications, including medication changes within the patient timeline, is essential for healthcare providers to provide appropriate pati…

cs.CL2021★ 3 cited

SemEval-2021 Task 9: Fact Verification and Evidence Finding for Tabular Data in Scientific Documents (SEM-TAB-FACTS)

Nancy X. R. Wang, Diwakar Mahajan, Marina Danilevsky +1

Understanding tables is an important and relevant task that involves understanding table structure as well as being able to compare and contrast information within cells. In this p…

cs.CL2020★ 15 cited

Toward Understanding Clinical Context of Medication Change Events in Clinical Narratives

Diwakar Mahajan, Jennifer J Liang, Ching-Huei Tsou

Understanding medication events in clinical narratives is essential to achieving a complete picture of a patient's medication history. While prior research has explored classificat…

cs.CY2020★ 37 cited

WNTRAC: AI Assisted Tracking of Non-pharmaceutical Interventions Implemented Worldwide for COVID-19

Parthasarathy Suryanarayanan, Ching-Huei Tsou, Ananya Poddar +23

The Coronavirus disease 2019 (COVID-19) global pandemic has transformed almost every facet of human society throughout the world. Against an emerging, highly transmissible disease…

cs.CL2020★ 2 cited

Extracting Daily Dosage from Medication Instructions in EHRs: An Automated Approach and Lessons Learned

Diwakar Mahajan, Jennifer J. Liang, Ching-Huei Tsou

Medication timelines have been shown to be effective in helping physicians visualize complex patient medication information. A key feature in many such designs is a longitudinal re…