MME-Survey: A Comprehensive Survey on Evaluation of Multimodal LLMs
Fuente:
arXiv
Saved in:
| Main Authors: | Fu, Chaoyou, Zhang, Yi-Fan, Yin, Shukang, Li, Bo, Fang, Xinyu, Zhao, Sirui, Duan, Haodong, Sun, Xing, Liu, Ziwei, Wang, Liang, Shan, Caifeng, He, Ran |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Survey on Multimodal Large Language Models
by: Yin, Shukang, et al.
Published: (2023)
by: Yin, Shukang, et al.
Published: (2023)
MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models
by: Fu, Chaoyou, et al.
Published: (2023)
by: Fu, Chaoyou, et al.
Published: (2023)
Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis
by: Fu, Chaoyou, et al.
Published: (2024)
by: Fu, Chaoyou, et al.
Published: (2024)
SpeechParaling-Bench: A Comprehensive Benchmark for Paralinguistic-Aware Speech Generation
by: Liu, Ruohan, et al.
Published: (2026)
by: Liu, Ruohan, et al.
Published: (2026)
PersonaVLM: Long-Term Personalized Multimodal LLMs
by: Nie, Chang, et al.
Published: (2026)
by: Nie, Chang, et al.
Published: (2026)
MME-Unify: A Comprehensive Benchmark for Unified Multimodal Understanding and Generation Models
by: Xie, Wulin, et al.
Published: (2025)
by: Xie, Wulin, et al.
Published: (2025)
Video-MME-v2: Towards the Next Stage in Benchmarks for Comprehensive Video Understanding
by: Fu, Chaoyou, et al.
Published: (2026)
by: Fu, Chaoyou, et al.
Published: (2026)
Sparrow: Data-Efficient Video-LLM with Text-to-Image Augmentation
by: Yin, Shukang, et al.
Published: (2024)
by: Yin, Shukang, et al.
Published: (2024)
Woodpecker: Hallucination Correction for Multimodal Large Language Models
by: Yin, Shukang, et al.
Published: (2023)
by: Yin, Shukang, et al.
Published: (2023)
VideoDetective: Clue Hunting via both Extrinsic Query and Intrinsic Relevance for Long Video Understanding
by: Yang, Ruoliu, et al.
Published: (2026)
by: Yang, Ruoliu, et al.
Published: (2026)
MME-VideoOCR: Evaluating OCR-Based Capabilities of Multimodal LLMs in Video Scenarios
by: Shi, Yang, et al.
Published: (2025)
by: Shi, Yang, et al.
Published: (2025)
Tango: Taming Visual Signals for Efficient Video Large Language Models
by: Yin, Shukang, et al.
Published: (2026)
by: Yin, Shukang, et al.
Published: (2026)
MME-Reasoning: A Comprehensive Benchmark for Logical Reasoning in MLLMs
by: Yuan, Jiakang, et al.
Published: (2025)
by: Yuan, Jiakang, et al.
Published: (2025)
Omni-Diffusion: Unified Multimodal Understanding and Generation with Masked Discrete Diffusion
by: Li, Lijiang, et al.
Published: (2026)
by: Li, Lijiang, et al.
Published: (2026)
MELLM: A Flow-Guided Large Language Model for Micro-Expression Understanding
by: Zhao, Sirui, et al.
Published: (2025)
by: Zhao, Sirui, et al.
Published: (2025)
MME-Finance: A Multimodal Finance Benchmark for Expert-level Understanding and Reasoning
by: Gan, Ziliang, et al.
Published: (2024)
by: Gan, Ziliang, et al.
Published: (2024)
MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency
by: Jiang, Dongzhi, et al.
Published: (2025)
by: Jiang, Dongzhi, et al.
Published: (2025)
MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans?
by: Zhang, Yi-Fan, et al.
Published: (2024)
by: Zhang, Yi-Fan, et al.
Published: (2024)
MME-Industry: A Cross-Industry Multimodal Evaluation Benchmark
by: Yi, Dongyi, et al.
Published: (2025)
by: Yi, Dongyi, et al.
Published: (2025)
Human-MME: A Holistic Evaluation Benchmark for Human-Centric Multimodal Large Language Models
by: Liu, Yuansen, et al.
Published: (2025)
by: Liu, Yuansen, et al.
Published: (2025)
MME-SCI: A Comprehensive and Challenging Science Benchmark for Multimodal Large Language Models
by: Ruan, Jiacheng, et al.
Published: (2025)
by: Ruan, Jiacheng, et al.
Published: (2025)
Discrete Tokenization for Multimodal LLMs: A Comprehensive Survey
by: Li, Jindong, et al.
Published: (2025)
by: Li, Jindong, et al.
Published: (2025)
Empowering Multimodal LLMs with External Tools: A Comprehensive Survey
by: An, Wenbin, et al.
Published: (2025)
by: An, Wenbin, et al.
Published: (2025)
MME-CC: A Challenging Multi-Modal Evaluation Benchmark of Cognitive Capacity
by: Zhang, Kaiyuan, et al.
Published: (2025)
by: Zhang, Kaiyuan, et al.
Published: (2025)
Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey
by: Wang, Yaoting, et al.
Published: (2025)
by: Wang, Yaoting, et al.
Published: (2025)
VITA: Towards Open-Source Interactive Omni Multimodal LLM
by: Fu, Chaoyou, et al.
Published: (2024)
by: Fu, Chaoyou, et al.
Published: (2024)
Aligning Multimodal LLM with Human Preference: A Survey
by: Yu, Tao, et al.
Published: (2025)
by: Yu, Tao, et al.
Published: (2025)
QuoTA: Query-oriented Token Assignment via CoT Query Decouple for Long Video Comprehension
by: Luo, Yongdong, et al.
Published: (2025)
by: Luo, Yongdong, et al.
Published: (2025)
Video-RAG: Visually-aligned Retrieval-Augmented Long Video Comprehension
by: Luo, Yongdong, et al.
Published: (2024)
by: Luo, Yongdong, et al.
Published: (2024)
FinMME: Benchmark Dataset for Financial Multi-Modal Reasoning Evaluation
by: Luo, Junyu, et al.
Published: (2025)
by: Luo, Junyu, 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)
Explainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey
by: Dang, Yunkai, et al.
Published: (2024)
by: Dang, Yunkai, et al.
Published: (2024)
HumanVideo-MME: Benchmarking MLLMs for Human-Centric Video Understanding
by: Cai, Yuxuan, et al.
Published: (2025)
by: Cai, Yuxuan, et al.
Published: (2025)
ProSA: Assessing and Understanding the Prompt Sensitivity of LLMs
by: Zhuo, Jingming, et al.
Published: (2024)
by: Zhuo, Jingming, et al.
Published: (2024)
MME-Emotion: A Holistic Evaluation Benchmark for Emotional Intelligence in Multimodal Large Language Models
by: Zhang, Fan, et al.
Published: (2025)
by: Zhang, Fan, et al.
Published: (2025)
Beyond LLaVA-HD: Diving into High-Resolution Large Multimodal Models
by: Zhang, Yi-Fan, et al.
Published: (2024)
by: Zhang, Yi-Fan, et al.
Published: (2024)
A Survey of Multimodal Hallucination Evaluation and Detection
by: Chen, Zhiyuan, et al.
Published: (2025)
by: Chen, Zhiyuan, et al.
Published: (2025)
LLMs Meet Multimodal Generation and Editing: A Survey
by: He, Yingqing, et al.
Published: (2024)
by: He, Yingqing, et al.
Published: (2024)
The Scales of Justitia: A Comprehensive Survey on Safety Evaluation of LLMs
by: Liu, Songyang, et al.
Published: (2025)
by: Liu, Songyang, et al.
Published: (2025)
Exploring Consciousness in LLMs: A Systematic Survey of Theories, Implementations, and Frontier Risks
by: Chen, Sirui, et al.
Published: (2025)
by: Chen, Sirui, et al.
Published: (2025)
Similar Items
-
A Survey on Multimodal Large Language Models
by: Yin, Shukang, et al.
Published: (2023) -
MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models
by: Fu, Chaoyou, et al.
Published: (2023) -
Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis
by: Fu, Chaoyou, et al.
Published: (2024) -
SpeechParaling-Bench: A Comprehensive Benchmark for Paralinguistic-Aware Speech Generation
by: Liu, Ruohan, et al.
Published: (2026) -
PersonaVLM: Long-Term Personalized Multimodal LLMs
by: Nie, Chang, et al.
Published: (2026)