Cover Image

Do Large Language Models have Shared Weaknesses in Medical Question Answering?

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Bean, Andrew M., Korgul, Karolina, Krones, Felix, McCraith, Robert, Mahdi, Adam
Format:	Preprint
Published:	2023
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Evaluating Fine-Tuning Efficiency of Human-Inspired Learning Strategies in Medical Question Answering
by: Yang, Yushi, et al.
Published: (2024)

Improving In-Context Learning with Small Language Model Ensembles
by: Mojarradi, M. Mehdi, et al.
Published: (2024)

LINGOLY-TOO: Disentangling Reasoning from Knowledge with Templatised Orthographic Obfuscation
by: Khouja, Jude, et al.
Published: (2025)

Multilingual Medical Reasoning for Question Answering with Large Language Models
by: Ferrazzi, Pietro, et al.
Published: (2025)

Uncertainty Estimation of Large Language Models in Medical Question Answering
by: Wu, Jiaxin, et al.
Published: (2024)

Benchmarking Large Language Models on Answering and Explaining Challenging Medical Questions
by: Chen, Hanjie, et al.
Published: (2024)

Collaboration among Multiple Large Language Models for Medical Question Answering
by: Shang, Kexin, et al.
Published: (2025)

MedFuzz: Exploring the Robustness of Large Language Models in Medical Question Answering
by: Ness, Robert Osazuwa, et al.
Published: (2024)

Evaluating the role of `Constitutions' for learning from AI feedback
by: Redgate, Saskia, et al.
Published: (2024)

MEG: Medical Knowledge-Augmented Large Language Models for Question Answering
by: Cabello, Laura, et al.
Published: (2024)

Can Large Language Models Self-Correct in Medical Question Answering? An Exploratory Study
by: Zhan, Zaifu, et al.
Published: (2026)

MedExpQA: Multilingual Benchmarking of Large Language Models for Medical Question Answering
by: Alonso, Iñigo, et al.
Published: (2024)

MedREQAL: Examining Medical Knowledge Recall of Large Language Models via Question Answering
by: Vladika, Juraj, et al.
Published: (2024)

MKG-Rank: Enhancing Large Language Models with Knowledge Graph for Multilingual Medical Question Answering
by: Li, Feiyang, et al.
Published: (2025)

Enhancing Healthcare through Large Language Models: A Study on Medical Question Answering
by: Yu, Haoran, et al.
Published: (2024)

Right for Right Reasons: Large Language Models for Verifiable Commonsense Knowledge Graph Question Answering
by: Toroghi, Armin, et al.
Published: (2024)

A Large-Scale Benchmark for Evaluating Large Language Models on Medical Question Answering in Romanian
by: Rogoz, Ana-Cristina, et al.
Published: (2025)

PerMedCQA: Benchmarking Large Language Models on Medical Consumer Question Answering in Persian Language
by: Jamali, Naghmeh, et al.
Published: (2025)

Calibrated Large Language Models for Binary Question Answering
by: Giovannotti, Patrizio, et al.
Published: (2024)

Overview of the ClinIQLink 2025 Shared Task on Medical Question-Answering
by: Colelough, Brandon, et al.
Published: (2025)

Do Clinical Question Answering Systems Really Need Specialised Medical Fine Tuning?
by: Ray, Sushant Kumar, et al.
Published: (2026)

Question: How do Large Language Models perform on the Question Answering tasks? Answer:
by: Fischer, Kevin, et al.
Published: (2024)

Trustworthy Medical Question Answering: An Evaluation-Centric Survey
by: Wang, Yinuo, et al.
Published: (2025)

Generalization of Medical Large Language Models through Cross-Domain Weak Supervision
by: Long, Robert, et al.
Published: (2025)

Prompting Medical Large Vision-Language Models to Diagnose Pathologies by Visual Question Answering
by: Guo, Danfeng, et al.
Published: (2024)

MedLM: Exploring Language Models for Medical Question Answering Systems
by: Yagnik, Niraj, et al.
Published: (2024)

BQA: Body Language Question Answering Dataset for Video Large Language Models
by: Ozaki, Shintaro, et al.
Published: (2024)

Towards Reliable Medical Question Answering: Techniques and Challenges in Mitigating Hallucinations in Language Models
by: Pham, Duy Khoa, et al.
Published: (2024)

A Comprehensive Study on Fine-Tuning Large Language Models for Medical Question Answering Using Classification Models and Comparative Analysis
by: Ucar, Aysegul, et al.
Published: (2025)

Evaluating Large Language Models for Evidence-Based Clinical Question Answering
by: Wang, Can, et al.
Published: (2025)

Performance of Large Language Models in Answering Critical Care Medicine Questions
by: Alwakeel, Mahmoud, et al.
Published: (2025)

HalluScore: Large Language Model Hallucination Question Answering Benchmark
by: Alansari, Aisha, et al.
Published: (2026)

Optimizing Medical Question-Answering Systems: A Comparative Study of Fine-Tuned and Zero-Shot Large Language Models with RAG Framework
by: Hassan, Tasnimul, et al.
Published: (2025)

LLM-MedQA: Enhancing Medical Question Answering through Case Studies in Large Language Models
by: Yang, Hang, et al.
Published: (2024)

IMB: An Italian Medical Benchmark for Question Answering
by: Romano, Antonio, et al.
Published: (2025)

Evaluating Large Language Model with Knowledge Oriented Language Specific Simple Question Answering
by: Jiang, Bowen, et al.
Published: (2025)

Large Language Models for Medical Forecasting -- Foresight 2
by: Kraljevic, Zeljko, et al.
Published: (2024)

Weakly Supervised Gaussian Contrastive Grounding with Large Multimodal Models for Video Question Answering
by: Wang, Haibo, et al.
Published: (2024)

Fusion of Domain-Adapted Vision and Language Models for Medical Visual Question Answering
by: Ha, Cuong Nhat, et al.
Published: (2024)

Table Question Answering for Low-resourced Indic Languages
by: Pal, Vaishali, et al.
Published: (2024)