PMC-LLaMA: toward building open-source language models for medicine
Objective Recently, large language models (LLMs) have showcased remarkable capabilities
in natural language understanding. While demonstrating proficiency in everyday …
in natural language understanding. While demonstrating proficiency in everyday …
Medalign: A clinician-generated dataset for instruction following with electronic medical records
The ability of large language models (LLMs) to follow natural language instructions with
human-level fluency suggests many opportunities in healthcare to reduce administrative …
human-level fluency suggests many opportunities in healthcare to reduce administrative …
Comparative evaluation of LLMs in clinical oncology
Background As artificial intelligence (AI) tools become widely accessible, more patients and
medical professionals will turn to them for medical information. Large language models …
medical professionals will turn to them for medical information. Large language models …
Bimedix: Bilingual medical mixture of experts llm
In this paper, we introduce BiMediX, the first bilingual medical mixture of experts LLM
designed for seamless interaction in both English and Arabic. Our model facilitates a wide …
designed for seamless interaction in both English and Arabic. Our model facilitates a wide …
Towards safe large language models for medicine
As large language models (LLMs) develop ever-improving capabilities and are applied in
real-world settings, it is important to understand their safety. While initial steps have been …
real-world settings, it is important to understand their safety. While initial steps have been …
Towards safe and aligned large language models for medicine
The capabilities of large language models (LLMs) have been progressing at a breathtaking
speed, leaving even their own developers grappling with the depth of their potential and …
speed, leaving even their own developers grappling with the depth of their potential and …
IryoNLP at MEDIQA-CORR 2024: Tackling the Medical Error Detection & Correction Task On the Shoulders of Medical Agents
JP Corbeil - arXiv preprint arXiv:2404.15488, 2024 - arxiv.org
In natural language processing applied to the clinical domain, utilizing large language
models has emerged as a promising avenue for error detection and correction on clinical …
models has emerged as a promising avenue for error detection and correction on clinical …
HSE NLP Team at MEDIQA-CORR 2024 Task: In-Prompt Ensemble with Entities and Knowledge Graph for Medical Error Correction
A Valiev, E Tutubalina - Proceedings of the 6th Clinical Natural …, 2024 - aclanthology.org
This paper presents our LLM-based system designed for the MEDIQA-CORR@ NAACL-
ClinicalNLP 2024 Shared Task 3, focusing on medical error detection and correction in …
ClinicalNLP 2024 Shared Task 3, focusing on medical error detection and correction in …
PretextTrans: Investigating Medical Factual Knowledge Mastery of LLMs with Predicate-text Dual Transformation
Y Zhou, X Liu, C Ning, J Wu - arXiv preprint arXiv:2409.14302, 2024 - arxiv.org
In the study, we aim to investigate current LLMs' mastery of medical factual knowledge with a
dynamic evaluation schema, which can automatically generate multiple test samples for …
dynamic evaluation schema, which can automatically generate multiple test samples for …
Zero‐and few‐shot prompting of generative large language models provides weak assessment of risk of bias in clinical trials
Existing systems for automating the assessment of risk‐of‐bias (RoB) in medical studies are
supervised approaches that require substantial training data to work well. However, recent …
supervised approaches that require substantial training data to work well. However, recent …