MMR: Evaluating Reading Ability of Large Multimodal Models
Fuente:
arXiv
Saved in:
| Main Authors: | Chen, Jian, Zhang, Ruiyi, Zhou, Yufan, Rossi, Ryan, Gu, Jiuxiang, Chen, Changyou |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
LLaVA-Read: Enhancing Reading Ability of Multimodal Language Models
by: Zhang, Ruiyi, et al.
Published: (2024)
by: Zhang, Ruiyi, et al.
Published: (2024)
TRINS: Towards Multimodal Language Models that Can Read
by: Zhang, Ruiyi, et al.
Published: (2024)
by: Zhang, Ruiyi, et al.
Published: (2024)
Multimodal LLMs as Customized Reward Models for Text-to-Image Generation
by: Zhou, Shijie, et al.
Published: (2025)
by: Zhou, Shijie, et al.
Published: (2025)
SV-RAG: LoRA-Contextualizing Adaptation of MLLMs for Long Document Understanding
by: Chen, Jian, et al.
Published: (2024)
by: Chen, Jian, et al.
Published: (2024)
Towards Aligned Layout Generation via Diffusion Model with Aesthetic Constraints
by: Chen, Jian, et al.
Published: (2024)
by: Chen, Jian, et al.
Published: (2024)
Customization Assistant for Text-to-image Generation
by: Zhou, Yufan, et al.
Published: (2023)
by: Zhou, Yufan, et al.
Published: (2023)
A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation
by: Zhou, Shijie, et al.
Published: (2024)
by: Zhou, Shijie, et al.
Published: (2024)
ARTIST: Improving the Generation of Text-rich Images with Disentangled Diffusion Models and Large Language Models
by: Zhang, Jianyi, et al.
Published: (2024)
by: Zhang, Jianyi, et al.
Published: (2024)
Towards Visual Text Grounding of Multimodal Large Language Model
by: Li, Ming, et al.
Published: (2025)
by: Li, Ming, et al.
Published: (2025)
SUGAR: Subject-Driven Video Customization in a Zero-Shot Manner
by: Zhou, Yufan, et al.
Published: (2024)
by: Zhou, Yufan, et al.
Published: (2024)
VisR-Bench: An Empirical Study on Visual Retrieval-Augmented Generation for Multilingual Long Document Understanding
by: Chen, Jian, et al.
Published: (2025)
by: Chen, Jian, et al.
Published: (2025)
MusiXQA: Advancing Visual Music Understanding in Multimodal Large Language Models
by: Chen, Jian, et al.
Published: (2025)
by: Chen, Jian, et al.
Published: (2025)
LLaVAR: Enhanced Visual Instruction Tuning for Text-Rich Image Understanding
by: Zhang, Yanzhe, et al.
Published: (2023)
by: Zhang, Yanzhe, et al.
Published: (2023)
Toffee: Efficient Million-Scale Dataset Construction for Subject-Driven Text-to-Image Generation
by: Zhou, Yufan, et al.
Published: (2024)
by: Zhou, Yufan, et al.
Published: (2024)
ActiView: Evaluating Active Perception Ability for Multimodal Large Language Models
by: Wang, Ziyue, et al.
Published: (2024)
by: Wang, Ziyue, et al.
Published: (2024)
Uncertainty-Aware Knowledge Distillation for Multimodal Large Language Models
by: Sun, Jingchen, et al.
Published: (2026)
by: Sun, Jingchen, et al.
Published: (2026)
MMR-AD: A Large-Scale Multimodal Dataset for Benchmarking General Anomaly Detection with Multimodal Large Language Models
by: Yao, Xincheng, et al.
Published: (2026)
by: Yao, Xincheng, et al.
Published: (2026)
MMR1: Enhancing Multimodal Reasoning with Variance-Aware Sampling and Open Resources
by: Leng, Sicong, et al.
Published: (2025)
by: Leng, Sicong, et al.
Published: (2025)
Lavida-O: Elastic Large Masked Diffusion Models for Unified Multimodal Understanding and Generation
by: Li, Shufan, et al.
Published: (2025)
by: Li, Shufan, et al.
Published: (2025)
Evaluating and Advancing Multimodal Large Language Models in Perception Ability Lens
by: Chen, Feng, et al.
Published: (2024)
by: Chen, Feng, et al.
Published: (2024)
MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos
by: Zhu, Kejian, et al.
Published: (2025)
by: Zhu, Kejian, et al.
Published: (2025)
More Than the Final Answer: Improving Visual Extraction and Logical Consistency in Vision-Language Models
by: Just, Hoang Anh, et al.
Published: (2025)
by: Just, Hoang Anh, et al.
Published: (2025)
MMR-Life: Piecing Together Real-life Scenes for Multimodal Multi-image Reasoning
by: Li, Jiachun, et al.
Published: (2026)
by: Li, Jiachun, et al.
Published: (2026)
GUI-AIMA: Aligning Intrinsic Multimodal Attention with a Context Anchor for GUI Grounding
by: Zhou, Shijie, et al.
Published: (2025)
by: Zhou, Shijie, et al.
Published: (2025)
Enhancing Diffusion Posterior Sampling for Inverse Problems by Integrating Crafted Measurements
by: Zhou, Shijie, et al.
Published: (2024)
by: Zhou, Shijie, et al.
Published: (2024)
Blocks as Probes: Dissecting Categorization Ability of Large Multimodal Models
by: Fu, Bin, et al.
Published: (2024)
by: Fu, Bin, et al.
Published: (2024)
Sparse-LaViDa: Sparse Multimodal Discrete Diffusion Language Models
by: Li, Shufan, et al.
Published: (2025)
by: Li, Shufan, et al.
Published: (2025)
LaViDa-R1: Advancing Reasoning for Unified Multimodal Diffusion Language Models
by: Li, Shufan, et al.
Published: (2026)
by: Li, Shufan, et al.
Published: (2026)
Teaching Human Behavior Improves Content Understanding Abilities Of LLMs
by: Singh, Somesh, et al.
Published: (2024)
by: Singh, Somesh, et al.
Published: (2024)
Personalized Multimodal Large Language Models: A Survey
by: Wu, Junda, et al.
Published: (2024)
by: Wu, Junda, et al.
Published: (2024)
MENTOR: Efficient Multimodal-Conditioned Tuning for Autoregressive Vision Generation Models
by: Zhao, Haozhe, et al.
Published: (2025)
by: Zhao, Haozhe, et al.
Published: (2025)
Evaluating the Diagnostic Classification Ability of Multimodal Large Language Models: Insights from the Osteoarthritis Initiative
by: Wang, Li, et al.
Published: (2026)
by: Wang, Li, et al.
Published: (2026)
IW-Bench: Evaluating Large Multimodal Models for Converting Image-to-Web
by: Guo, Hongcheng, et al.
Published: (2024)
by: Guo, Hongcheng, et al.
Published: (2024)
MMR: A Large-scale Benchmark Dataset for Multi-target and Multi-granularity Reasoning Segmentation
by: Jang, Donggon, et al.
Published: (2025)
by: Jang, Donggon, et al.
Published: (2025)
Visual Prompting in Multimodal Large Language Models: A Survey
by: Wu, Junda, et al.
Published: (2024)
by: Wu, Junda, et al.
Published: (2024)
FinMMR: Make Financial Numerical Reasoning More Multimodal, Comprehensive, and Challenging
by: Tang, Zichen, et al.
Published: (2025)
by: Tang, Zichen, et al.
Published: (2025)
Dissecting Embodied Abilities in Multimodal Language Models through Skill-level Evaluation and Diagnosis
by: Qi, Yu, et al.
Published: (2025)
by: Qi, Yu, et al.
Published: (2025)
Enhancing the Reasoning Ability of Multimodal Large Language Models via Mixed Preference Optimization
by: Wang, Weiyun, et al.
Published: (2024)
by: Wang, Weiyun, et al.
Published: (2024)
Empowering Segmentation Ability to Multi-modal Large Language Models
by: Yang, Yuqi, et al.
Published: (2024)
by: Yang, Yuqi, et al.
Published: (2024)
Can Large Multimodal Models Actively Recognize Faulty Inputs? A Systematic Evaluation Framework of Their Input Scrutiny Ability
by: Yang, Haiqi, et al.
Published: (2025)
by: Yang, Haiqi, et al.
Published: (2025)
Similar Items
-
LLaVA-Read: Enhancing Reading Ability of Multimodal Language Models
by: Zhang, Ruiyi, et al.
Published: (2024) -
TRINS: Towards Multimodal Language Models that Can Read
by: Zhang, Ruiyi, et al.
Published: (2024) -
Multimodal LLMs as Customized Reward Models for Text-to-Image Generation
by: Zhou, Shijie, et al.
Published: (2025) -
SV-RAG: LoRA-Contextualizing Adaptation of MLLMs for Long Document Understanding
by: Chen, Jian, et al.
Published: (2024) -
Towards Aligned Layout Generation via Diffusion Model with Aesthetic Constraints
by: Chen, Jian, et al.
Published: (2024)