Cover Image

CMMMU: A Chinese Massive Multi-discipline Multimodal Understanding Benchmark

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Ge, Du, Xinrun, Chen, Bei, Liang, Yiming, Luo, Tongxu, Zheng, Tianyu, Zhu, Kang, Cheng, Yuyang, Xu, Chunpu, Guo, Shuyue, Zhang, Haoran, Qu, Xingwei, Wang, Junjie, Yuan, Ruibin, Li, Yizhi, Wang, Zekun, Liu, Yudong, Tsai, Yu-Hsuan, Zhang, Fengji, Lin, Chenghua, Huang, Wenhao, Fu, Jie
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Contrastive Learning for Sleep Staging based on Inter Subject Correlation
by: Zhang, Tongxu, et al.
Published: (2023)

Representation Learning of Point Cloud Upsampling in Global and Local Inputs
by: Zhang, Tongxu, et al.
Published: (2025)

Med-PU: Point Cloud Upsampling for High-Fidelity 3D Medical Shape Reconstruction
by: Zhang, Tongxu, et al.
Published: (2025)

Kun: Answer Polishment for Chinese Self-Alignment with Instruction Back-Translation
by: Zheng, Tianyu, et al.
Published: (2024)

A Survey of Medical Point Cloud Shape Learning: Registration, Reconstruction and Variation
by: Zhang, Tongxu, et al.
Published: (2025)

Overview of the NLPCC 2024 Shared Task on Chinese Metaphor Generation
by: Qu, Xingwei, et al.
Published: (2024)

I-SHEEP: Self-Alignment of LLM from Scratch through an Iterative Self-Enhancement Paradigm
by: Liang, Yiming, et al.
Published: (2024)

Learning Coarse-to-Fine Osteoarthritis Representations under Noisy Hierarchical Labels
by: Zhang, Tongxu
Published: (2026)

Rethinking Data Input for Point Cloud Upsampling
by: Zhang, Tongxu
Published: (2024)

MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI
by: Yue, Xiang, et al.
Published: (2023)

CIF-Bench: A Chinese Instruction-Following Benchmark for Evaluating the Generalizability of Large Language Models
by: LI, Yizhi, et al.
Published: (2024)

The Fine Line: Navigating Large Language Model Pretraining with Down-streaming Capability Analysis
by: Yang, Chen, et al.
Published: (2024)

MIO: A Foundation Model on Multimodal Tokens
by: Wang, Zekun, et al.
Published: (2024)

TreePO: Bridging the Gap of Policy Optimization and Efficacy and Inference Efficiency with Heuristic Tree-based Modeling
by: Li, Yizhi, et al.
Published: (2025)

OmniBench: Towards The Future of Universal Omni-Language Models
by: Li, Yizhi, et al.
Published: (2024)

COIG-CQIA: Quality is All You Need for Chinese Instruction Fine-tuning
by: Bai, Yuelin, et al.
Published: (2024)

MuPT: A Generative Symbolic Music Pretrained Transformer
by: Qu, Xingwei, et al.
Published: (2024)

Observing Micromotives and Macrobehavior of Large Language Models
by: Cheng, Yuyang, et al.
Published: (2024)

Chinese Tiny LLM: Pretraining a Chinese-Centric Large Language Model
by: Du, Xinrun, et al.
Published: (2024)

Overview of the NLPCC 2025 Shared Task: Gender Bias Mitigation Challenge
by: Li, Yizhi, et al.
Published: (2025)

First Return, Entropy-Eliciting Explore
by: Zheng, Tianyu, et al.
Published: (2025)

Aligning Instruction Tuning with Pre-training
by: Liang, Yiming, et al.
Published: (2025)

KOR-Bench: Benchmarking Language Models on Knowledge-Orthogonal Reasoning Tasks
by: Ma, Kaijing, et al.
Published: (2024)

Understanding DeepResearch via Reports
by: Fan, Tianyu, et al.
Published: (2025)

DeepInnovator: Triggering the Innovative Capabilities of LLMs
by: Fan, Tianyu, et al.
Published: (2026)

MMRA: A Benchmark for Evaluating Multi-Granularity and Multi-Image Relational Association Capabilities in Large Visual Language Models
by: Wu, Siwei, et al.
Published: (2024)

Dynamic Large Concept Models: Latent Reasoning in an Adaptive Semantic Space
by: Qu, Xingwei, et al.
Published: (2025)

Stop Overvaluing Multi-Agent Debate -- We Must Rethink Evaluation and Embrace Model Heterogeneity
by: Zhang, Hangfan, et al.
Published: (2025)

COIG-P: A High-Quality and Large-Scale Chinese Preference Dataset for Alignment with Human Values
by: P Team, et al.
Published: (2025)

The Agent Use of Agent Beings: Agent Cybernetics Is the Missing Science of Foundation Agents
by: Wang, Xinrun, et al.
Published: (2026)

ING-VP: MLLMs cannot Play Easy Vision-based Games Yet
by: Zhang, Haoran, et al.
Published: (2024)

SciMMIR: Benchmarking Scientific Multi-modal Information Retrieval
by: Wu, Siwei, et al.
Published: (2024)

A Novel Self-Evolution Framework for Large Language Models
by: Sun, Haoran, et al.
Published: (2025)

An Uncertainty-Driven Adaptive Self-Alignment Framework for Large Language Models
by: Sun, Haoran, et al.
Published: (2025)

Preference-Aware Memory Update for Long-Term LLM Agents
by: Sun, Haoran, et al.
Published: (2025)

TEGEE: Task dEfinition Guided Expert Ensembling for Generalizable and Few-shot Learning
by: Qu, Xingwei, et al.
Published: (2024)

From Procedural Skills to Strategy Genes: Towards Experience-Driven Test-Time Evolution
by: Wang, Junjie, et al.
Published: (2026)

Pure Core Sets of $n \times n$ Matrices over Finite Fields
by: Wang, Hongyu, et al.
Published: (2025)

Language Model as an Annotator: Unsupervised Context-aware Quality Phrase Generation
by: Zhang, Zhihao, et al.
Published: (2023)

Harnessing Machine Learning for Discerning AI-Generated Synthetic Images
by: Wang, Yuyang, et al.
Published: (2024)