MMIE: Massive Multimodal Interleaved Comprehension Benchmark for Large Vision-Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Xia, Peng, Han, Siwei, Qiu, Shi, Zhou, Yiyang, Wang, Zhaoyang, Zheng, Wenhao, Chen, Zhaorun, Cui, Chenhang, Ding, Mingyu, Li, Linjie, Wang, Lijuan, Yao, Huaxiu |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Fine-Grained Verifiers: Preference Modeling as Next-token Prediction in Vision-Language Alignment
by: Cui, Chenhang, et al.
Published: (2024)
by: Cui, Chenhang, et al.
Published: (2024)
Aligning Modalities in Vision Large Language Models via Preference Fine-tuning
by: Zhou, Yiyang, et al.
Published: (2024)
by: Zhou, Yiyang, et al.
Published: (2024)
MJ-VIDEO: Fine-Grained Benchmarking and Rewarding Video Preferences in Video Generation
by: Tong, Haibo, et al.
Published: (2025)
by: Tong, Haibo, et al.
Published: (2025)
Calibrated Self-Rewarding Vision Language Models
by: Zhou, Yiyang, et al.
Published: (2024)
by: Zhou, Yiyang, et al.
Published: (2024)
From EduVisBench to EduVisAgent: A Benchmark and Multi-Agent Framework for Reasoning-Driven Pedagogical Visualization
by: Ji, Haonian, et al.
Published: (2025)
by: Ji, Haonian, et al.
Published: (2025)
Analyzing and Mitigating Object Hallucination in Large Vision-Language Models
by: Zhou, Yiyang, et al.
Published: (2023)
by: Zhou, Yiyang, et al.
Published: (2023)
GLIMPSE: Do Large Vision-Language Models Truly Think With Videos or Just Glimpse at Them?
by: Zhou, Yiyang, et al.
Published: (2025)
by: Zhou, Yiyang, et al.
Published: (2025)
Agent0-VL: Exploring Self-Evolving Agent for Tool-Integrated Vision-Language Reasoning
by: Liu, Jiaqi, et al.
Published: (2025)
by: Liu, Jiaqi, et al.
Published: (2025)
Improving Alignment in LVLMs with Debiased Self-Judgment
by: Yang, Sihan, et al.
Published: (2025)
by: Yang, Sihan, et al.
Published: (2025)
CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models
by: Xia, Peng, et al.
Published: (2024)
by: Xia, Peng, et al.
Published: (2024)
GRAPE: Generalizing Robot Policy via Preference Alignment
by: Zhang, Zijian, et al.
Published: (2024)
by: Zhang, Zijian, et al.
Published: (2024)
MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation?
by: Chen, Zhaorun, et al.
Published: (2024)
by: Chen, Zhaorun, et al.
Published: (2024)
MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models
by: Xia, Peng, et al.
Published: (2024)
by: Xia, Peng, et al.
Published: (2024)
ClawArena: Benchmarking AI Agents in Evolving Information Environments
by: Ji, Haonian, et al.
Published: (2026)
by: Ji, Haonian, et al.
Published: (2026)
MMedPO: Aligning Medical Vision-Language Models with Clinical-Aware Multimodal Preference Optimization
by: Zhu, Kangyu, et al.
Published: (2024)
by: Zhu, Kangyu, et al.
Published: (2024)
IKOD: Mitigating Visual Attention Degradation in Large Vision-Language Models
by: Yang, Jiabing, et al.
Published: (2025)
by: Yang, Jiabing, et al.
Published: (2025)
COSMO: COntrastive Streamlined MultimOdal Model with Interleaved Pre-Training
by: Wang, Alex Jinpeng, et al.
Published: (2024)
by: Wang, Alex Jinpeng, et al.
Published: (2024)
Verifiable Format Control for Large Language Model Generations
by: Wang, Zhaoyang, et al.
Published: (2025)
by: Wang, Zhaoyang, et al.
Published: (2025)
Lingua-SafetyBench: A Benchmark for Safety Evaluation of Multilingual Vision-Language Models
by: Shi, Enyi, et al.
Published: (2026)
by: Shi, Enyi, et al.
Published: (2026)
Agent World Model: Infinity Synthetic Environments for Agentic Reinforcement Learning
by: Wang, Zhaoyang, et al.
Published: (2026)
by: Wang, Zhaoyang, et al.
Published: (2026)
Anyprefer: An Agentic Framework for Preference Data Synthesis
by: Zhou, Yiyang, et al.
Published: (2025)
by: Zhou, Yiyang, et al.
Published: (2025)
Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark
by: Hao, Yunzhuo, et al.
Published: (2025)
by: Hao, Yunzhuo, et al.
Published: (2025)
Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement
by: Wang, Xiyao, et al.
Published: (2024)
by: Wang, Xiyao, et al.
Published: (2024)
SimpleOCR: Rendering Visualized Questions to Teach MLLMs to Read
by: Peng, Yibo, et al.
Published: (2026)
by: Peng, Yibo, et al.
Published: (2026)
V-MAGE: A Game Evaluation Framework for Assessing Vision-Centric Capabilities in Multimodal Large Language Models
by: Zheng, Xiangxi, et al.
Published: (2025)
by: Zheng, Xiangxi, et al.
Published: (2025)
Efficient Long CoT Reasoning in Small Language Models
by: Wang, Zhaoyang, et al.
Published: (2025)
by: Wang, Zhaoyang, et al.
Published: (2025)
Scaling Inference-Time Search with Vision Value Model for Improved Visual Comprehension
by: Wang, Xiyao, et al.
Published: (2024)
by: Wang, Xiyao, et al.
Published: (2024)
RULE: Reliable Multimodal RAG for Factuality in Medical Vision Language Models
by: Xia, Peng, et al.
Published: (2024)
by: Xia, Peng, et al.
Published: (2024)
REMAC: Self-Reflective and Self-Evolving Multi-Agent Collaboration for Long-Horizon Robot Manipulation
by: Yuan, Puzhen, et al.
Published: (2025)
by: Yuan, Puzhen, et al.
Published: (2025)
Certainly Uncertain: A Benchmark and Metric for Multimodal Epistemic and Aleatoric Awareness
by: Chandu, Khyathi Raghavi, et al.
Published: (2024)
by: Chandu, Khyathi Raghavi, et al.
Published: (2024)
ThinkMorph: Emergent Properties in Multimodal Interleaved Chain-of-Thought Reasoning
by: Gu, Jiawei, et al.
Published: (2025)
by: Gu, Jiawei, et al.
Published: (2025)
Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences
by: Wang, Xiyao, et al.
Published: (2024)
by: Wang, Xiyao, et al.
Published: (2024)
When and How Much to Imagine: Adaptive Test-Time Scaling with World Models for Visual Spatial Reasoning
by: Yu, Shoubin, et al.
Published: (2026)
by: Yu, Shoubin, et al.
Published: (2026)
Shot2Story: A New Benchmark for Comprehensive Understanding of Multi-shot Videos
by: Han, Mingfei, et al.
Published: (2023)
by: Han, Mingfei, et al.
Published: (2023)
MM-Vet v2: A Challenging Benchmark to Evaluate Large Multimodal Models for Integrated Capabilities
by: Yu, Weihao, et al.
Published: (2024)
by: Yu, Weihao, et al.
Published: (2024)
Beyond Words: Advancing Long-Text Image Generation via Multimodal Autoregressive Models
by: Wang, Alex Jinpeng, et al.
Published: (2025)
by: Wang, Alex Jinpeng, et al.
Published: (2025)
AutoPRM: Automating Procedural Supervision for Multi-Step Reasoning via Controllable Question Decomposition
by: Chen, Zhaorun, et al.
Published: (2024)
by: Chen, Zhaorun, et al.
Published: (2024)
WEAVE: Unleashing and Benchmarking the In-context Interleaved Comprehension and Generation
by: Chow, Wei, et al.
Published: (2025)
by: Chow, Wei, et al.
Published: (2025)
Diagnostic Benchmark and Iterative Inpainting for Layout-Guided Image Generation
by: Cho, Jaemin, et al.
Published: (2023)
by: Cho, Jaemin, et al.
Published: (2023)
InterLV-Search: Benchmarking Interleaved Multimodal Agentic Search
by: Hou, Bohan, et al.
Published: (2026)
by: Hou, Bohan, et al.
Published: (2026)
Similar Items
-
Fine-Grained Verifiers: Preference Modeling as Next-token Prediction in Vision-Language Alignment
by: Cui, Chenhang, et al.
Published: (2024) -
Aligning Modalities in Vision Large Language Models via Preference Fine-tuning
by: Zhou, Yiyang, et al.
Published: (2024) -
MJ-VIDEO: Fine-Grained Benchmarking and Rewarding Video Preferences in Video Generation
by: Tong, Haibo, et al.
Published: (2025) -
Calibrated Self-Rewarding Vision Language Models
by: Zhou, Yiyang, et al.
Published: (2024) -
From EduVisBench to EduVisAgent: A Benchmark and Multi-Agent Framework for Reasoning-Driven Pedagogical Visualization
by: Ji, Haonian, et al.
Published: (2025)