Cover Image

Pattern Recognition or Medical Knowledge? The Problem with Multiple-Choice Questions in Medicine

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Griot, Maxime, Vanderdonckt, Jean, Yuksel, Demet, Hemptinne, Coralie
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Generating Multiple-Choice Knowledge Questions with Interpretable Difficulty Estimation using Knowledge Graphs and Large Language Models
by: Şakiroğlu, Mehmet Can, et al.
Published: (2026)

Generating Plausible Distractors for Multiple-Choice Questions via Student Choice Prediction
by: Lee, Yooseop, et al.
Published: (2025)

Biomedical Entity Linking as Multiple Choice Question Answering
by: Lin, Zhenxi, et al.
Published: (2024)

Option-ID Based Elimination For Multiple Choice Questions
by: Zhu, Zhenhao, et al.
Published: (2025)

Anchored Answers: Unravelling Positional Bias in GPT-2's Multiple-Choice Questions
by: Li, Ruizhe, et al.
Published: (2024)

A Study on Large Language Models' Limitations in Multiple-Choice Question Answering
by: Khatun, Aisha, et al.
Published: (2024)

UnibucLLM: Harnessing LLMs for Automated Prediction of Item Difficulty and Response Time for Multiple-Choice Questions
by: Rogoz, Ana-Cristina, et al.
Published: (2024)

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

Answer Matching Outperforms Multiple Choice for Language Model Evaluation
by: Chandak, Nikhil, et al.
Published: (2025)

Multiple Choice Learning of Low-Rank Adapters for Language Modeling
by: Letzelter, Victor, et al.
Published: (2025)

Interpretable Question Answering with Knowledge Graphs
by: Aneja, Kartikeya, et al.
Published: (2025)

Automated Generation of Challenging Multiple-Choice Questions for Vision Language Model Evaluation
by: Zhang, Yuhui, et al.
Published: (2025)

Probabilities of Chat LLMs Are Miscalibrated but Still Predict Correctness on Multiple-Choice Q&A
by: Plaut, Benjamin, et al.
Published: (2024)

Temporal Knowledge Graph Question Answering: A Survey
by: Su, Miao, et al.
Published: (2024)

COMPKE: Complex Question Answering under Knowledge Editing
by: Cheng, Keyuan, et al.
Published: (2025)

ChameleonLLM: Batch-Aware Dynamic Low-Rank Adaptation via Inference-Time Clusters
by: Yuksel, Kamer Ali, et al.
Published: (2025)

Augmenting Math Word Problems via Iterative Question Composing
by: Liu, Haoxiong, et al.
Published: (2024)

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

Multi-hop Question Answering under Temporal Knowledge Editing
by: Cheng, Keyuan, et al.
Published: (2024)

Examining LLMs' Uncertainty Expression Towards Questions Outside Parametric Knowledge
by: Liu, Genglin, et al.
Published: (2023)

A Systematic Study of Retrieval Pipeline Design for Retrieval-Augmented Medical Question Answering
by: Sultana, Nusrat, et al.
Published: (2026)

Evidence-Focused Fact Summarization for Knowledge-Augmented Zero-Shot Question Answering
by: Ko, Sungho, et al.
Published: (2024)

Retrieval-enhanced Knowledge Editing in Language Models for Multi-Hop Question Answering
by: Shi, Yucheng, et al.
Published: (2024)

LinkQ: An LLM-Assisted Visual Interface for Knowledge Graph Question-Answering
by: Li, Harry, et al.
Published: (2024)

Empirical Characterization of Rationale Stability Under Controlled Perturbations for Explainable Pattern Recognition
by: Sakib, Abu Noman Md, et al.
Published: (2026)

MediaMind: Revolutionizing Media Monitoring using Agentification
by: Gunduz, Ahmet, et al.
Published: (2025)

Automated Generation and Tagging of Knowledge Components from Multiple-Choice Questions
by: Moore, Steven, 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)

Mechanistic Interpretability as Statistical Estimation: A Variance Analysis
by: Méloux, Maxime, et al.
Published: (2025)

PAACE: A Plan-Aware Automated Agent Context Engineering Framework
by: Yuksel, Kamer Ali
Published: (2025)

Large Language Models in Fire Engineering: An Examination of Technical Questions Against Domain Knowledge
by: Hostetter, Haley, et al.
Published: (2024)

Jingfang: An LLM-Based Multi-Agent System for Precise Medical Consultation and Syndrome Differentiation in Traditional Chinese Medicine
by: Yang, Yehan, et al.
Published: (2025)

Word-Sequence Entropy: Towards Uncertainty Estimation in Free-Form Medical Question Answering Applications and Beyond
by: Wang, Zhiyuan, et al.
Published: (2024)

Logic Programming on Knowledge Graph Networks And its Application in Medical Domain
by: Wang, Chuanqing, et al.
Published: (2026)

ContextGPT: Infusing LLMs Knowledge into Neuro-Symbolic Activity Recognition Models
by: Arrotta, Luca, et al.
Published: (2024)

Everything, Everywhere, All at Once: Is Mechanistic Interpretability Identifiable?
by: Méloux, Maxime, et al.
Published: (2025)

Structured Extraction of Real World Medical Knowledge using LLMs for Summarization and Search
by: Kim, Edward, et al.
Published: (2024)

Differentiating Choices via Commonality for Multiple-Choice Question Answering
by: Deng, Wenqing, et al.
Published: (2024)

Diagnosing Retrieval Bias Under Multiple In-Context Knowledge Updates in Large Language Models
by: Qiao, Boyu, et al.
Published: (2026)

Influence of visual acuity on monocular face perception and exploration: Evidence from gaze‐contingency
by: Nathan Hupin, et al.
Published: (2024)