37 citations · 43 across the 7 of their papers we have counts for
4 papers · 1 filter
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…
WangLab at MEDIQA-Chat 2023: Clinical Note Generation from Doctor-Patient Conversations using Large Language Models
John Giorgi, Augustin Toma, Ronald Xie +4
This paper describes our submission to the MEDIQA-Chat 2023 shared task for automatic clinical note generation from doctor-patient conversations. We report results for two approach…
Clinical Camel: An Open Expert-Level Medical Language Model with Dialogue-Based Knowledge Encoding
Augustin Toma, Patrick R. Lawler, Jimmy Ba +3
We present Clinical Camel, an open large language model (LLM) explicitly tailored for clinical research. Fine-tuned from LLaMA-2 using QLoRA, Clinical Camel achieves state-of-the-a…