Multimodal Retrieval-Augmented Generation with Large Language Models for Medical VQA
Fuente:
arXiv
Saved in:
| Main Authors: | Karim, A H M Rezaul, Uzuner, Ozlem |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Retrieval-Augmented Large Language Models for Schema-Constrained Clinical Information Extraction
by: Karim, A H M Rezaul, et al.
Published: (2026)
by: Karim, A H M Rezaul, et al.
Published: (2026)
Assessing Large Language Models for Structured Medical Order Extraction
by: Karim, A H M Rezaul, et al.
Published: (2025)
by: Karim, A H M Rezaul, et al.
Published: (2025)
Muffin or Chihuahua? Challenging Multimodal Large Language Models with Multipanel VQA
by: Fan, Yue, et al.
Published: (2024)
by: Fan, Yue, et al.
Published: (2024)
Toward Effective Reinforcement Learning Fine-Tuning for Medical VQA in Vision-Language Models
by: Zhu, Wenhui, et al.
Published: (2025)
by: Zhu, Wenhui, et al.
Published: (2025)
RAP: Retrieval-Augmented Personalization for Multimodal Large Language Models
by: Hao, Haoran, et al.
Published: (2024)
by: Hao, Haoran, et al.
Published: (2024)
Alleviating Hallucination in Large Vision-Language Models with Active Retrieval Augmentation
by: Qu, Xiaoye, et al.
Published: (2024)
by: Qu, Xiaoye, et al.
Published: (2024)
KOFFVQA: An Objectively Evaluated Free-form VQA Benchmark for Large Vision-Language Models in the Korean Language
by: Kim, Yoonshik, et al.
Published: (2025)
by: Kim, Yoonshik, et al.
Published: (2025)
MRAG-Bench: Vision-Centric Evaluation for Retrieval-Augmented Multimodal Models
by: Hu, Wenbo, et al.
Published: (2024)
by: Hu, Wenbo, et al.
Published: (2024)
Med-RewardBench: Benchmarking Reward Models and Judges for Medical Multimodal Large Language Models
by: Ding, Meidan, et al.
Published: (2025)
by: Ding, Meidan, et al.
Published: (2025)
Benchmarking Egocentric Clinical Intent Understanding Capability for Medical Multimodal Large Language Models
by: Liu, Shaonan, et al.
Published: (2026)
by: Liu, Shaonan, et al.
Published: (2026)
MangaVQA and MangaLMM: A Benchmark and Specialized Model for Multimodal Manga Understanding
by: Baek, Jeonghun, et al.
Published: (2025)
by: Baek, Jeonghun, et al.
Published: (2025)
Improving Automatic VQA Evaluation Using Large Language Models
by: Mañas, Oscar, et al.
Published: (2023)
by: Mañas, Oscar, et al.
Published: (2023)
Resource-Efficient Medical Report Generation using Large Language Models
by: Abdullah, et al.
Published: (2024)
by: Abdullah, et al.
Published: (2024)
Robust Adaptation of Large Multimodal Models for Retrieval Augmented Hateful Meme Detection
by: Mei, Jingbiao, et al.
Published: (2025)
by: Mei, Jingbiao, et al.
Published: (2025)
Wiki-LLaVA: Hierarchical Retrieval-Augmented Generation for Multimodal LLMs
by: Caffagni, Davide, et al.
Published: (2024)
by: Caffagni, Davide, et al.
Published: (2024)
mKG-RAG: Leveraging Multimodal Knowledge Graphs in Retrieval-Augmented Generation for Knowledge-intensive VQA
by: Yuan, Xu, et al.
Published: (2025)
by: Yuan, Xu, et al.
Published: (2025)
VLR-Bench: Multilingual Benchmark Dataset for Vision-Language Retrieval Augmented Generation
by: Lim, Hyeonseok, et al.
Published: (2024)
by: Lim, Hyeonseok, et al.
Published: (2024)
Model Composition for Multimodal Large Language Models
by: Chen, Chi, et al.
Published: (2024)
by: Chen, Chi, et al.
Published: (2024)
Knowledge Generation for Zero-shot Knowledge-based VQA
by: Cao, Rui, et al.
Published: (2024)
by: Cao, Rui, et al.
Published: (2024)
RaTA-Tool: Retrieval-based Tool Selection with Multimodal Large Language Models
by: Mattioli, Gabriele, et al.
Published: (2026)
by: Mattioli, Gabriele, et al.
Published: (2026)
Caption First, VQA Second: Knowledge Density, Not Task Format, Drives Multimodal Scaling
by: Zou, Hongjian, et al.
Published: (2026)
by: Zou, Hongjian, et al.
Published: (2026)
Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation
by: Bicakci, Yunus Serhat, et al.
Published: (2025)
by: Bicakci, Yunus Serhat, et al.
Published: (2025)
MegaRAG: Multimodal Knowledge Graph-Based Retrieval Augmented Generation
by: Hsiao, Chi-Hsiang, et al.
Published: (2025)
by: Hsiao, Chi-Hsiang, et al.
Published: (2025)
BLINK: Multimodal Large Language Models Can See but Not Perceive
by: Fu, Xingyu, et al.
Published: (2024)
by: Fu, Xingyu, et al.
Published: (2024)
Benchmarking Multimodal Large Language Models for Face Recognition
by: Shahreza, Hatef Otroshi, et al.
Published: (2025)
by: Shahreza, Hatef Otroshi, et al.
Published: (2025)
A Survey on Agentic Multimodal Large Language Models
by: Yao, Huanjin, et al.
Published: (2025)
by: Yao, Huanjin, et al.
Published: (2025)
A Survey on Benchmarks of Multimodal Large Language Models
by: Li, Jian, et al.
Published: (2024)
by: Li, Jian, et al.
Published: (2024)
A Survey on Evaluation of Multimodal Large Language Models
by: Huang, Jiaxing, et al.
Published: (2024)
by: Huang, Jiaxing, et al.
Published: (2024)
ScImage: How Good Are Multimodal Large Language Models at Scientific Text-to-Image Generation?
by: Zhang, Leixin, et al.
Published: (2024)
by: Zhang, Leixin, et al.
Published: (2024)
Prompt4Trust: A Reinforcement Learning Prompt Augmentation Framework for Clinically-Aligned Confidence Calibration in Multimodal Large Language Models
by: Kriz, Anita, et al.
Published: (2025)
by: Kriz, Anita, et al.
Published: (2025)
Chiron-o1: Igniting Multimodal Large Language Models towards Generalizable Medical Reasoning via Mentor-Intern Collaborative Search
by: Sun, Haoran, et al.
Published: (2025)
by: Sun, Haoran, et al.
Published: (2025)
Robust Multimodal Large Language Models Against Modality Conflict
by: Zhang, Zongmeng, et al.
Published: (2025)
by: Zhang, Zongmeng, et al.
Published: (2025)
MLLM-CL: Continual Learning for Multimodal Large Language Models
by: Zhao, Hongbo, et al.
Published: (2025)
by: Zhao, Hongbo, et al.
Published: (2025)
Forgotten Polygons: Multimodal Large Language Models are Shape-Blind
by: Rudman, William, et al.
Published: (2025)
by: Rudman, William, et al.
Published: (2025)
Evaluating Large Language Models on Multimodal Chemistry Olympiad Exams
by: Cui, Yiming, et al.
Published: (2025)
by: Cui, Yiming, et al.
Published: (2025)
Cross-modal Information Flow in Multimodal Large Language Models
by: Zhang, Zhi, et al.
Published: (2024)
by: Zhang, Zhi, et al.
Published: (2024)
Gemini in Reasoning: Unveiling Commonsense in Multimodal Large Language Models
by: Wang, Yuqing, et al.
Published: (2023)
by: Wang, Yuqing, et al.
Published: (2023)
Evaluating LLM -- Generated Multimodal Diagnosis from Medical Images and Symptom Analysis
by: Panagoulias, Dimitrios P., et al.
Published: (2024)
by: Panagoulias, Dimitrios P., et al.
Published: (2024)
From Pixels to Posts: Retrieval-Augmented Fashion Captioning and Hashtag Generation
by: Gondal, Moazzam Umer, et al.
Published: (2025)
by: Gondal, Moazzam Umer, et al.
Published: (2025)
LFTR: Learning-Free Token Reduction for Multimodal Large Language Models
by: Zhao, Zihui, et al.
Published: (2025)
by: Zhao, Zihui, et al.
Published: (2025)
Similar Items
-
Retrieval-Augmented Large Language Models for Schema-Constrained Clinical Information Extraction
by: Karim, A H M Rezaul, et al.
Published: (2026) -
Assessing Large Language Models for Structured Medical Order Extraction
by: Karim, A H M Rezaul, et al.
Published: (2025) -
Muffin or Chihuahua? Challenging Multimodal Large Language Models with Multipanel VQA
by: Fan, Yue, et al.
Published: (2024) -
Toward Effective Reinforcement Learning Fine-Tuning for Medical VQA in Vision-Language Models
by: Zhu, Wenhui, et al.
Published: (2025) -
RAP: Retrieval-Augmented Personalization for Multimodal Large Language Models
by: Hao, Haoran, et al.
Published: (2024)