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Bibliographic Details
Main Authors:	Karim, A H M Rezaul, Uzuner, Ozlem
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence
Online Access:	https://arxiv.org/abs/2510.10475
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Multimodal Retrieval-Augmented Generation with Large Language Models for Medical VQA
by: Karim, A H M Rezaul, et al.
Published: (2025)

A Systematic Analysis of Large Language Models with RAG-enabled Dynamic Prompting for Medical Error Detection and Correction
by: Ahmed, Farzad, et al.
Published: (2025)

Spurious Correlations and Beyond: Understanding and Mitigating Shortcut Learning in SDOH Extraction with Large Language Models
by: Sakib, Fardin Ahsan, et al.
Published: (2025)

A Scoping Review of Natural Language Processing in Addressing Medically Inaccurate Information: Errors, Misinformation, and Hallucination
by: Sun, Zhaoyi, et al.
Published: (2025)

Hallucinations and Key Information Extraction in Medical Texts: A Comprehensive Assessment of Open-Source Large Language Models
by: Das, Anindya Bijoy, et al.
Published: (2025)

Prompting Large Language Models to Detect Dementia Family Caregivers
by: Biswas, Md Badsha, et al.
Published: (2025)

Evaluating Open-Weight Large Language Models for Structured Data Extraction from Narrative Medical Reports Across Multiple Use Cases and Languages
by: Spaanderman, Douwe J., et al.
Published: (2025)

Systematic Comparative Analysis of Large Pretrained Language Models on Contextualized Medication Event Extraction
by: Abdul-Quddoos, Tariq, et al.
Published: (2025)

Evaluating Prompting Strategies with MedGemma for Medical Order Extraction
by: Balachandran, Abhinand, et al.
Published: (2025)

Textual Entailment Recognition with Semantic Features from Empirical Text Representation
by: Shajalal, Md, et al.
Published: (2022)

INSIGHTBUDDY-AI: Medication Extraction and Entity Linking using Large Language Models and Ensemble Learning
by: Romero, Pablo, et al.
Published: (2024)

MedHallBench: A New Benchmark for Assessing Hallucination in Medical Large Language Models
by: Zuo, Kaiwen, et al.
Published: (2024)

EMRModel: A Large Language Model for Extracting Medical Consultation Dialogues into Structured Medical Records
by: Zhao, Shuguang, et al.
Published: (2025)

oRetrieval Augmented Generation for 10 Large Language Models and its Generalizability in Assessing Medical Fitness
by: Ke, Yu He, et al.
Published: (2024)

Assessing and Enhancing the Robustness of Large Language Models with Task Structure Variations for Logical Reasoning
by: Bao, Qiming, et al.
Published: (2023)

Premise Order Matters in Reasoning with Large Language Models
by: Chen, Xinyun, et al.
Published: (2024)

Benchmark for Assessing Olfactory Perception of Large Language Models
by: Makri, Eftychia, et al.
Published: (2026)

Assessing and Understanding Creativity in Large Language Models
by: Zhao, Yunpu, et al.
Published: (2024)

Assessing Political Bias in Large Language Models
by: Rettenberger, Luca, et al.
Published: (2024)

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)

Meronymic Ontology Extraction via Large Language Models
by: Zhang, Dekai, et al.
Published: (2025)

STAR: Boosting Low-Resource Information Extraction by Structure-to-Text Data Generation with Large Language Models
by: Ma, Mingyu Derek, et al.
Published: (2023)

High-throughput Biomedical Relation Extraction for Semi-Structured Web Articles Empowered by Large Language Models
by: Zhou, Songchi, et al.
Published: (2023)

Large Language Model Benchmarks in Medical Tasks
by: Yan, Lawrence K. Q., et al.
Published: (2024)

Empirical Analysis of Dialogue Relation Extraction with Large Language Models
by: Li, Guozheng, et al.
Published: (2024)

PVminerLLM: Structured Extraction of Patient Voice from Patient-Generated Text using Large Language Models
by: Fodeh, Samah, et al.
Published: (2026)

Divergent Creativity in Humans and Large Language Models
by: Bellemare-Pepin, Antoine, et al.
Published: (2024)

Overview of the MEDIQA-OE 2025 Shared Task on Medical Order Extraction from Doctor-Patient Consultations
by: Corbeil, Jean-Philippe, et al.
Published: (2025)

Order Matters in Hallucination: Reasoning Order as Benchmark and Reflexive Prompting for Large-Language-Models
by: Xie, Zikai
Published: (2024)

Assessing Consciousness-Related Behaviors in Large Language Models Using the Maze Test
by: Pimenta, Rui A., et al.
Published: (2025)

Knowledge-tuning Large Language Models with Structured Medical Knowledge Bases for Reliable Response Generation in Chinese
by: Wang, Haochun, et al.
Published: (2023)

Disentangling Reasoning and Knowledge in Medical Large Language Models
by: Thapa, Rahul, et al.
Published: (2025)

Assessing Empathy in Large Language Models with Real-World Physician-Patient Interactions
by: Luo, Man, et al.
Published: (2024)

AutoRE: Document-Level Relation Extraction with Large Language Models
by: Xue, Lilong, et al.
Published: (2024)

Lightweight Large Language Model for Medication Enquiry: Med-Pal
by: Elangovan, Kabilan, et al.
Published: (2024)

Assessing Personalized AI Mentoring with Large Language Models in the Computing Field
by: Luo, Xiao, et al.
Published: (2024)

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

MedGo: A Chinese Medical Large Language Model
by: Zhang, Haitao, et al.
Published: (2024)

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

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