1 citations · 1 across the 2 of their papers we have counts for
4 papers
Towards Applying Large Language Models to Complement Single-Cell Foundation Models
Steven Palayew, Bo Wang, Gary Bader
Single-cell foundation models such as scGPT represent a significant advancement in single-cell omics, with an ability to achieve state-of-the-art performance on various downstream…
Exploring the Design Space of 3D MLLMs for CT Report Generation
Mohammed Baharoon, Jun Ma, Congyu Fang +2
Multimodal Large Language Models (MLLMs) have emerged as a promising way to automate Radiology Report Generation (RRG). In this work, we systematically investigate the design space…
WangLab at MEDIQA-M3G 2024: Multimodal Medical Answer Generation using Large Language Models
Ronald Xie, Steven Palayew, Augustin Toma +2
This paper outlines our submission to the MEDIQA2024 Multilingual and Multimodal Medical Answer Generation (M3G) shared task. We report results for two standalone solutions under t…
WangLab at MEDIQA-CORR 2024: Optimized LLM-based Programs for Medical Error Detection and Correction
Augustin Toma, Ronald Xie, Steven Palayew +2
Medical errors in clinical text pose significant risks to patient safety. The MEDIQA-CORR 2024 shared task focuses on detecting and correcting these errors across three subtasks: i…