LMOD+: A Comprehensive Multimodal Dataset and Benchmark for Developing and Evaluating Multimodal Large Language Models in Ophthalmology
Fuente:
arXiv
Saved in:
| Main Authors: | Qin, Zhenyue, Liu, Yang, Yin, Yu, Ding, Jinyu, Zhang, Haoran, Li, Anran, Campbell, Dylan, Wu, Xuansheng, Zou, Ke, Keenan, Tiarnan D. L., Chew, Emily Y., Lu, Zhiyong, Tham, Yih Chung, Liu, Ninghao, Zhang, Xiuzhen, Chen, Qingyu |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
LMOD: A Large Multimodal Ophthalmology Dataset and Benchmark for Large Vision-Language Models
by: Qin, Zhenyue, et al.
Published: (2024)
by: Qin, Zhenyue, et al.
Published: (2024)
VOLMO: Versatile and Open Large Models for Ophthalmology
by: Qin, Zhenyue, et al.
Published: (2026)
by: Qin, Zhenyue, et al.
Published: (2026)
Toward Multimodal Conversational AI for Age-Related Macular Degeneration
by: Gu, Ran, et al.
Published: (2026)
by: Gu, Ran, et al.
Published: (2026)
Enhancing Large Language Models with Domain-specific Retrieval Augment Generation: A Case Study on Long-form Consumer Health Question Answering in Ophthalmology
by: Gilson, Aidan, et al.
Published: (2024)
by: Gilson, Aidan, et al.
Published: (2024)
EyeAgent: An Agentic AI System for Multimodal Clinical Decision Support in Ophthalmology
by: Shi, Danli, et al.
Published: (2025)
by: Shi, Danli, et al.
Published: (2025)
HandCraft: Anatomically Correct Restoration of Malformed Hands in Diffusion Generated Images
by: Qin, Zhenyue, et al.
Published: (2024)
by: Qin, Zhenyue, et al.
Published: (2024)
Self-Regularization with Sparse Autoencoders for Controllable LLM-based Classification
by: Wu, Xuansheng, et al.
Published: (2025)
by: Wu, Xuansheng, et al.
Published: (2025)
Can OpenAI o1 Reason Well in Ophthalmology? A 6,990-Question Head-to-Head Evaluation Study
by: Srinivasan, Sahana, et al.
Published: (2025)
by: Srinivasan, Sahana, et al.
Published: (2025)
EyeFound: A Multimodal Generalist Foundation Model for Ophthalmic Imaging
by: Shi, Danli, et al.
Published: (2024)
by: Shi, Danli, et al.
Published: (2024)
BEnchmarking LLMs for Ophthalmology (BELO) for Ophthalmological Knowledge and Reasoning
by: Srinivasan, Sahana, et al.
Published: (2025)
by: Srinivasan, Sahana, et al.
Published: (2025)
Performance of GPT-5 Frontier Models in Ophthalmology Question Answering
by: Antaki, Fares, et al.
Published: (2025)
by: Antaki, Fares, et al.
Published: (2025)
Learnable Assessment Skills for LLM-based Automated Scoring: Rubric Construction via Iterative Optimization
by: Wang, Yun, et al.
Published: (2026)
by: Wang, Yun, et al.
Published: (2026)
Beyond Input Activations: Identifying Influential Latents by Gradient Sparse Autoencoders
by: Shu, Dong, et al.
Published: (2025)
by: Shu, Dong, et al.
Published: (2025)
Enhancing LLM Steering through Sparse Autoencoder-Based Vector Refinement
by: Wang, Anyi, et al.
Published: (2025)
by: Wang, Anyi, et al.
Published: (2025)
Interpreting and Steering LLMs with Mutual Information-based Explanations on Sparse Autoencoders
by: Wu, Xuansheng, et al.
Published: (2025)
by: Wu, Xuansheng, et al.
Published: (2025)
Benchmarking Next-Generation Reasoning-Focused Large Language Models in Ophthalmology: A Head-to-Head Evaluation on 5,888 Items
by: Zou, Minjie, et al.
Published: (2025)
by: Zou, Minjie, et al.
Published: (2025)
BRIDGE the Gap: Mitigating Bias Amplification in Automated Scoring of English Language Learners via Inter-group Data Augmentation
by: Wang, Yun, et al.
Published: (2026)
by: Wang, Yun, et al.
Published: (2026)
Applying Large Language Models and Chain-of-Thought for Automatic Scoring
by: Lee, Gyeong-Geon, et al.
Published: (2023)
by: Lee, Gyeong-Geon, et al.
Published: (2023)
Denoising Concept Vectors with Sparse Autoencoders for Improved Language Model Steering
by: Zhao, Haiyan, et al.
Published: (2025)
by: Zhao, Haiyan, et al.
Published: (2025)
Could Small Language Models Serve as Recommenders? Towards Data-centric Cold-start Recommendations
by: Wu, Xuansheng, et al.
Published: (2023)
by: Wu, Xuansheng, et al.
Published: (2023)
AutoSCORE: Enhancing Automated Scoring with Multi-Agent Large Language Models via Structured Component Recognition
by: Wang, Yun, et al.
Published: (2025)
by: Wang, Yun, et al.
Published: (2025)
Retrieval-enhanced Knowledge Editing in Language Models for Multi-Hop Question Answering
by: Shi, Yucheng, et al.
Published: (2024)
by: Shi, Yucheng, et al.
Published: (2024)
Unveiling Scoring Processes: Dissecting the Differences between LLMs and Human Graders in Automatic Scoring
by: Wu, Xuansheng, et al.
Published: (2024)
by: Wu, Xuansheng, et al.
Published: (2024)
Multimodal Information Interaction for Medical Image Segmentation
by: Fan, Xinxin, et al.
Published: (2024)
by: Fan, Xinxin, et al.
Published: (2024)
Enhancing Cognition and Explainability of Multimodal Foundation Models with Self-Synthesized Data
by: Shi, Yucheng, et al.
Published: (2025)
by: Shi, Yucheng, et al.
Published: (2025)
LEME: Open Large Language Models for Ophthalmology with Advanced Reasoning and Clinical Validation
by: Kim, Hyunjae, et al.
Published: (2024)
by: Kim, Hyunjae, et al.
Published: (2024)
Investigating CoT Monitorability in Large Reasoning Models
by: Yang, Shu, et al.
Published: (2025)
by: Yang, Shu, et al.
Published: (2025)
From Language Modeling to Instruction Following: Understanding the Behavior Shift in LLMs after Instruction Tuning
by: Wu, Xuansheng, et al.
Published: (2023)
by: Wu, Xuansheng, et al.
Published: (2023)
Concept-Centric Token Interpretation for Vector-Quantized Generative Models
by: Yang, Tianze, et al.
Published: (2025)
by: Yang, Tianze, et al.
Published: (2025)
A Survey on Sparse Autoencoders: Interpreting the Internal Mechanisms of Large Language Models
by: Shu, Dong, et al.
Published: (2025)
by: Shu, Dong, et al.
Published: (2025)
EH-Benchmark Ophthalmic Hallucination Benchmark and Agent-Driven Top-Down Traceable Reasoning Workflow
by: Pan, Xiaoyu, et al.
Published: (2025)
by: Pan, Xiaoyu, et al.
Published: (2025)
Dynamic Multimodal Expression Generation for LLM-Driven Pedagogical Agents: From User Experience Perspective
by: Wan, Ninghao, et al.
Published: (2026)
by: Wan, Ninghao, et al.
Published: (2026)
Retinal microvasculature alterations are associated with mild behavioral impairment in a memory clinic population
by: Yingqi Liao, et al.
Published: (2025)
by: Yingqi Liao, et al.
Published: (2025)
A Federated and Parameter-Efficient Framework for Large Language Model Training in Medicine
by: Li, Anran, et al.
Published: (2026)
by: Li, Anran, et al.
Published: (2026)
MR-MLLM: Mutual Reinforcement of Multimodal Comprehension and Vision Perception
by: Wang, Guanqun, et al.
Published: (2024)
by: Wang, Guanqun, et al.
Published: (2024)
AMD-Mamba: A Phenotype-Aware Multi-Modal Framework for Robust AMD Prognosis
by: Wu, Puzhen, et al.
Published: (2025)
by: Wu, Puzhen, et al.
Published: (2025)
Learning Marked Temporal Point Process Explanations based on Counterfactual and Factual Reasoning
by: Liu, Sishun, et al.
Published: (2025)
by: Liu, Sishun, et al.
Published: (2025)
Ranked from Within: Ranking Large Multimodal Models Without Labels
by: Tu, Weijie, et al.
Published: (2024)
by: Tu, Weijie, et al.
Published: (2024)
AGI: Artificial General Intelligence for Education
by: Latif, Ehsan, et al.
Published: (2023)
by: Latif, Ehsan, et al.
Published: (2023)
EyecareGPT: Boosting Comprehensive Ophthalmology Understanding with Tailored Dataset, Benchmark and Model
by: Li, Sijing, et al.
Published: (2025)
by: Li, Sijing, et al.
Published: (2025)
Similar Items
-
LMOD: A Large Multimodal Ophthalmology Dataset and Benchmark for Large Vision-Language Models
by: Qin, Zhenyue, et al.
Published: (2024) -
VOLMO: Versatile and Open Large Models for Ophthalmology
by: Qin, Zhenyue, et al.
Published: (2026) -
Toward Multimodal Conversational AI for Age-Related Macular Degeneration
by: Gu, Ran, et al.
Published: (2026) -
Enhancing Large Language Models with Domain-specific Retrieval Augment Generation: A Case Study on Long-form Consumer Health Question Answering in Ophthalmology
by: Gilson, Aidan, et al.
Published: (2024) -
EyeAgent: An Agentic AI System for Multimodal Clinical Decision Support in Ophthalmology
by: Shi, Danli, et al.
Published: (2025)