Cover Image

A Survey of Mathematical Reasoning in the Era of Multimodal Large Language Model: Benchmark, Method & Challenges

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yan, Yibo, Su, Jiamin, He, Jianxiang, Fu, Fangteng, Zheng, Xu, Lyu, Yuanhuiyi, Wang, Kun, Wang, Shen, Wen, Qingsong, Hu, Xuming
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MMUnlearner: Reformulating Multimodal Machine Unlearning in the Era of Multimodal Large Language Models
by: Huo, Jiahao, et al.
Published: (2025)

EssayJudge: A Multi-Granular Benchmark for Assessing Automated Essay Scoring Capabilities of Multimodal Large Language Models
by: Su, Jiamin, et al.
Published: (2025)

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection
by: Yan, Yibo, et al.
Published: (2024)

Multimodal Spatial Reasoning in the Large Model Era: A Survey and Benchmarks
by: Zheng, Xu, et al.
Published: (2025)

MathAgent: Leveraging a Mixture-of-Math-Agent Framework for Real-World Multimodal Mathematical Error Detection
by: Yan, Yibo, et al.
Published: (2025)

Are Multimodal Large Language Models Ready for Omnidirectional Spatial Reasoning?
by: Dongfang, Zihao, et al.
Published: (2025)

Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning
by: Yan, Yibo, et al.
Published: (2025)

GM-PRM: A Generative Multimodal Process Reward Model for Multimodal Mathematical Reasoning
by: Zhang, Jianghangfan, et al.
Published: (2025)

Image Anything: Towards Reasoning-coherent and Training-free Multi-modal Image Generation
by: Lyu, Yuanhuiyi, et al.
Published: (2024)

Are We Using the Right Benchmark: An Evaluation Framework for Visual Token Compression Methods
by: Liao, Chenfei, et al.
Published: (2025)

Look Twice Before You Answer: Memory-Space Visual Retracing for Hallucination Mitigation in Multimodal Large Language Models
by: Zou, Xin, et al.
Published: (2024)

Don't Just Chase "Highlighted Tokens" in MLLMs: Revisiting Visual Holistic Context Retention
by: Zou, Xin, et al.
Published: (2025)

PhysicsArena: The First Multimodal Physics Reasoning Benchmark Exploring Variable, Process, and Solution Dimensions
by: Dai, Song, et al.
Published: (2025)

Reefknot: A Comprehensive Benchmark for Relation Hallucination Evaluation, Analysis and Mitigation in Multimodal Large Language Models
by: Zheng, Kening, et al.
Published: (2024)

ExACT: Language-guided Conceptual Reasoning and Uncertainty Estimation for Event-based Action Recognition and More
by: Zhou, Jiazhou, et al.
Published: (2024)

CAFES: A Collaborative Multi-Agent Framework for Multi-Granular Multimodal Essay Scoring
by: Su, Jiamin, et al.
Published: (2025)

MAGIC++: Efficient and Resilient Modality-Agnostic Semantic Segmentation via Hierarchical Modality Selection
by: Zheng, Xu, et al.
Published: (2024)

MagicAnime: A Hierarchically Annotated, Multimodal and Multitasking Dataset with Benchmarks for Cartoon Animation Generation
by: Xu, Shuolin, et al.
Published: (2025)

Learning Modality-agnostic Representation for Semantic Segmentation from Any Modalities
by: Zheng, Xu, et al.
Published: (2024)

MINER: Mining the Underlying Pattern of Modality-Specific Neurons in Multimodal Large Language Models
by: Huang, Kaichen, et al.
Published: (2024)

RealRAG: Retrieval-augmented Realistic Image Generation via Self-reflective Contrastive Learning
by: Lyu, Yuanhuiyi, et al.
Published: (2025)

Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality
by: Zhou, Guanyu, et al.
Published: (2024)

Spatial Reasoning in Multimodal Large Language Models: A Survey of Tasks, Benchmarks and Methods
by: Liu, Weichen, et al.
Published: (2025)

A Survey on Multimodal Benchmarks: In the Era of Large AI Models
by: Li, Lin, et al.
Published: (2024)

SAVEn-Vid: Synergistic Audio-Visual Integration for Enhanced Understanding in Long Video Context
by: Li, Jungang, et al.
Published: (2024)

Learning Robust Anymodal Segmentor with Unimodal and Cross-modal Distillation
by: Zheng, Xu, et al.
Published: (2024)

Benchmarking Multimodal Mathematical Reasoning with Explicit Visual Dependency
by: Wang, Zhikai, et al.
Published: (2025)

Centering the Value of Every Modality: Towards Efficient and Resilient Modality-agnostic Semantic Segmentation
by: Zheng, Xu, et al.
Published: (2024)

EventBind: Learning a Unified Representation to Bind Them All for Event-based Open-world Understanding
by: Zhou, Jiazhou, et al.
Published: (2023)

OmniBind: Teach to Build Unequal-Scale Modality Interaction for Omni-Bind of All
by: Lyu, Yuanhuiyi, et al.
Published: (2024)

UniBind: LLM-Augmented Unified and Balanced Representation Space to Bind Them All
by: Lyu, Yuanhuiyi, et al.
Published: (2024)

Aligning Multimodal LLM with Human Preference: A Survey
by: Yu, Tao, et al.
Published: (2025)

EgoIntent: An Egocentric Step-level Benchmark for Understanding What, Why, and Next
by: Pan, Ye, et al.
Published: (2026)

Explainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey
by: Dang, Yunkai, et al.
Published: (2024)

MemorySAM: Memorize Modalities and Semantics with Segment Anything Model 2 for Multi-modal Semantic Segmentation
by: Liao, Chenfei, et al.
Published: (2025)

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization
by: Zheng, Xu, et al.
Published: (2025)

A Survey of Text Watermarking in the Era of Large Language Models
by: Liu, Aiwei, et al.
Published: (2023)

Retrieval Augmented Generation and Understanding in Vision: A Survey and New Outlook
by: Zheng, Xu, et al.
Published: (2025)

StruVis: Enhancing Reasoning-based Text-to-Image Generation via Thinking with Structured Vision
by: Lyu, Yuanhuiyi, et al.
Published: (2026)

A Survey on Large Language Models for Mathematical Reasoning
by: Wang, Peng-Yuan, et al.
Published: (2025)