Imagen de Portada

Describe-then-Reason: Improving Multimodal Mathematical Reasoning through Visual Comprehension Training

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Jia, Mengzhao, Zhang, Zhihan, Yu, Wenhao, Jiao, Fangkai, Jiang, Meng
Formato:	Preprint
Publicado:	2024
Materias:	Computation and Language
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Learn Beyond The Answer: Training Language Models with Reflection for Mathematical Reasoning
por: Zhang, Zhihan, et al.
Publicado: (2024)

Prioritizing the Best: Incentivizing Reliable Multimodal Reasoning by Rewarding Beyond Answer Correctness
por: Jia, Mengzhao, et al.
Publicado: (2026)

AutoRubric: Rubric-Based Generative Rewards for Faithful Multimodal Reasoning
por: Jia, Mengzhao, et al.
Publicado: (2025)

Enhancing Mathematical Reasoning in LLMs by Stepwise Correction
por: Wu, Zhenyu, et al.
Publicado: (2024)

PLUG: Leveraging Pivot Language in Cross-Lingual Instruction Tuning
por: Zhang, Zhihan, et al.
Publicado: (2023)

MMTutorBench: The First Multimodal Benchmark for AI Math Tutoring
por: Yang, Tengchao, et al.
Publicado: (2025)

MultiChartQA: Benchmarking Vision-Language Models on Multi-Chart Problems
por: Zhu, Zifeng, et al.
Publicado: (2024)

Multimodal Mathematical Reasoning with Diverse Solving Perspective
por: Shi, Wenhao, et al.
Publicado: (2025)

Leopard: A Vision Language Model For Text-Rich Multi-Image Tasks
por: Jia, Mengzhao, et al.
Publicado: (2024)

Preference Optimization for Reasoning with Pseudo Feedback
por: Jiao, Fangkai, et al.
Publicado: (2024)

MathCanvas: Intrinsic Visual Chain-of-Thought for Multimodal Mathematical Reasoning
por: Shi, Weikang, et al.
Publicado: (2025)

Improve Mathematical Reasoning in Language Models by Automated Process Supervision
por: Luo, Liangchen, et al.
Publicado: (2024)

LLM Reasoning Engine: Specialized Training for Enhanced Mathematical Reasoning
por: Chen, Shuguang, et al.
Publicado: (2024)

Learning Planning-based Reasoning by Trajectories Collection and Process Reward Synthesizing
por: Jiao, Fangkai, et al.
Publicado: (2024)

Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models
por: Shi, Wenhao, et al.
Publicado: (2024)

StructTest: Benchmarking LLMs' Reasoning through Compositional Structured Outputs
por: Chen, Hailin, et al.
Publicado: (2024)

Can We Further Elicit Reasoning in LLMs? Critic-Guided Planning with Retrieval-Augmentation for Solving Challenging Tasks
por: Li, Xingxuan, et al.
Publicado: (2024)

FABSVer: Faster Training and Better Self-Verification for LLM Mathematical Reasoning
por: Pan, Haihui, et al.
Publicado: (2026)

Relevant or Random: Can LLMs Truly Perform Analogical Reasoning?
por: Qin, Chengwei, et al.
Publicado: (2024)

Mitigating Catastrophic Forgetting in Mathematical Reasoning Finetuning through Mixed Training
por: Reynolds, John Graham
Publicado: (2025)

Figure It Out: Improve the Frontier of Reasoning with Executable Visual States
por: Chen, Meiqi, et al.
Publicado: (2025)

What Really Improves Mathematical Reasoning: Structured Reasoning Signals Beyond Pure Code
por: Zhao, Yuze, et al.
Publicado: (2026)

MathFimer: Enhancing Mathematical Reasoning by Expanding Reasoning Steps through Fill-in-the-Middle Task
por: Yan, Yuchen, et al.
Publicado: (2025)

Cognitive Loop of Thought: Reversible Hierarchical Markov Chain for Efficient Mathematical Reasoning
por: Zhang, Jia-Chen, et al.
Publicado: (2026)

Learning GUI Grounding with Spatial Reasoning from Visual Feedback
por: Zhao, Yu, et al.
Publicado: (2025)

Math-PUMA: Progressive Upward Multimodal Alignment to Enhance Mathematical Reasoning
por: Zhuang, Wenwen, et al.
Publicado: (2024)

RepoGraph: Enhancing AI Software Engineering with Repository-level Code Graph
por: Ouyang, Siru, et al.
Publicado: (2024)

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

Step Guided Reasoning: Improving Mathematical Reasoning using Guidance Generation and Step Reasoning
por: Cao, Lang, et al.
Publicado: (2024)

CMM-Math: A Chinese Multimodal Math Dataset To Evaluate and Enhance the Mathematics Reasoning of Large Multimodal Models
por: Liu, Wentao, et al.
Publicado: (2024)

Unlocking Multimodal Mathematical Reasoning via Process Reward Model
por: Luo, Ruilin, et al.
Publicado: (2025)

SIaM: Self-Improving Code-Assisted Mathematical Reasoning of Large Language Models
por: Yu, Dian, et al.
Publicado: (2024)

Toward Automated Robustness Evaluation of Mathematical Reasoning
por: Hou, Yutao, et al.
Publicado: (2025)

Question Translation Training for Better Multilingual Reasoning
por: Zhu, Wenhao, et al.
Publicado: (2024)

Legal Mathematical Reasoning with LLMs: Procedural Alignment through Two-Stage Reinforcement Learning
por: Zhang, Kepu, et al.
Publicado: (2025)

Reinforcing Multimodal Reasoning Against Visual Degradation
por: Liu, Rui, et al.
Publicado: (2026)

Protecting Privacy in Multimodal Large Language Models with MLLMU-Bench
por: Liu, Zheyuan, et al.
Publicado: (2024)

Flow-DPO: Improving LLM Mathematical Reasoning through Online Multi-Agent Learning
por: Deng, Yihe, et al.
Publicado: (2024)

JiuZhang3.0: Efficiently Improving Mathematical Reasoning by Training Small Data Synthesis Models
por: Zhou, Kun, et al.
Publicado: (2024)

Diving into Self-Evolving Training for Multimodal Reasoning
por: Liu, Wei, et al.
Publicado: (2024)