Imagen de Portada

Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Huang, Wenxuan, Jia, Bohan, Zhai, Zijie, Cao, Shaosheng, Ye, Zheyu, Zhao, Fei, Xu, Zhe, Tang, Xu, Hu, Yao, Lin, Shaohui
Formato:	Preprint
Publicado:	2025
Materias:	Computer Vision and Pattern Recognition Artificial Intelligence Computation and Language Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Dynamic-LLaVA: Efficient Multimodal Large Language Models via Dynamic Vision-language Context Sparsification
por: Huang, Wenxuan, et al.
Publicado: (2024)

Vision-DeepResearch: Incentivizing DeepResearch Capability in Multimodal Large Language Models
por: Huang, Wenxuan, et al.
Publicado: (2026)

Actial: Activate Spatial Reasoning Ability of Multimodal Large Language Models
por: Zhan, Xiaoyu, et al.
Publicado: (2025)

R1-ShareVL: Incentivizing Reasoning Capability of Multimodal Large Language Models via Share-GRPO
por: Yao, Huanjin, et al.
Publicado: (2025)

MIRAGE: Exploring How Large Language Models Perform in Complex Social Interactive Environments
por: Cai, Yin, et al.
Publicado: (2025)

Mixed-R1: Unified Reward Perspective For Reasoning Capability in Multimodal Large Language Models
por: Xu, Shilin, et al.
Publicado: (2025)

EComStage: Stage-wise and Orientation-specific Benchmarking for Large Language Models in E-commerce
por: Zhao, Kaiyan, et al.
Publicado: (2026)

Vision-DeepResearch Benchmark: Rethinking Visual and Textual Search for Multimodal Large Language Models
por: Zeng, Yu, et al.
Publicado: (2026)

ChartMuseum: Testing Visual Reasoning Capabilities of Large Vision-Language Models
por: Tang, Liyan, et al.
Publicado: (2025)

Redefining Machine Translation on Social Network Services with Large Language Models
por: Guo, Hongcheng, et al.
Publicado: (2025)

DINO-R1: Incentivizing Reasoning Capability in Vision Foundation Models
por: Pan, Chenbin, et al.
Publicado: (2025)

Context Reasoner: Incentivizing Reasoning Capability for Contextualized Privacy and Safety Compliance via Reinforcement Learning
por: Hu, Wenbin, et al.
Publicado: (2025)

Pet-Bench: Benchmarking the Abilities of Large Language Models as E-Pets in Social Network Services
por: Guo, Hongcheng, et al.
Publicado: (2025)

Interleaving Reasoning for Better Text-to-Image Generation
por: Huang, Wenxuan, et al.
Publicado: (2025)

Octopus: Agentic Multimodal Reasoning with Six-Capability Orchestration
por: Guo, Yifu, et al.
Publicado: (2025)

CompBench: Benchmarking Complex Instruction-guided Image Editing
por: Jia, Bohan, et al.
Publicado: (2025)

SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning Capabilities
por: Chen, Boyuan, et al.
Publicado: (2024)

Cooperative Strategic Planning Enhances Reasoning Capabilities in Large Language Models
por: Wang, Danqing, et al.
Publicado: (2024)

Language of Thought Shapes Output Diversity in Large Language Models
por: Xu, Shaoyang, et al.
Publicado: (2026)

MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning
por: Pan, Jiazhen, et al.
Publicado: (2025)

KnowCoder-A1: Incentivizing Agentic Reasoning Capability with Outcome Supervision for KBQA
por: Chen, Zhuo, et al.
Publicado: (2025)

TimeSoccer: An End-to-End Multimodal Large Language Model for Soccer Commentary Generation
por: You, Ling, et al.
Publicado: (2025)

DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
por: DeepSeek-AI, et al.
Publicado: (2025)

Incentivizing Reasoning for Advanced Instruction-Following of Large Language Models
por: Qin, Yulei, et al.
Publicado: (2025)

Evaluating Accounting Reasoning Capabilities of Large Language Models
por: Zhou, Jie, et al.
Publicado: (2026)

Arctic-Text2SQL-R1: Simple Rewards, Strong Reasoning in Text-to-SQL
por: Yao, Zhewei, et al.
Publicado: (2025)

MT$^{3}$: Scaling MLLM-based Text Image Machine Translation via Multi-Task Reinforcement Learning
por: Feng, Zhaopeng, et al.
Publicado: (2025)

MT-R1-Zero: Advancing LLM-based Machine Translation via R1-Zero-like Reinforcement Learning
por: Feng, Zhaopeng, et al.
Publicado: (2025)

Exploring the Reasoning Abilities of Multimodal Large Language Models (MLLMs): A Comprehensive Survey on Emerging Trends in Multimodal Reasoning
por: Wang, Yiqi, et al.
Publicado: (2024)

R1-T1: Fully Incentivizing Translation Capability in LLMs via Reasoning Learning
por: He, Minggui, et al.
Publicado: (2025)

Decouple Searching from Training: Scaling Data Mixing via Model Merging for Large Language Model Pre-training
por: Li, Shengrui, et al.
Publicado: (2026)

SNS-Bench-VL: Benchmarking Multimodal Large Language Models in Social Networking Services
por: Guo, Hongcheng, et al.
Publicado: (2025)

mDPO: Conditional Preference Optimization for Multimodal Large Language Models
por: Wang, Fei, et al.
Publicado: (2024)

Unleashing the Intrinsic Visual Representation Capability of Multimodal Large Language Models
por: Li, Hengzhuang, et al.
Publicado: (2025)

MLLMRec-R1: Incentivizing Reasoning Capability in Large Language Models for Multimodal Sequential Recommendation
por: Wang, Yu, et al.
Publicado: (2026)

Reinforcement Fine-Tuning Powers Reasoning Capability of Multimodal Large Language Models
por: Sun, Haoyuan, et al.
Publicado: (2025)

RedOne 2.0: Rethinking Domain-specific LLM Post-Training in Social Networking Services
por: Zhao, Fei, et al.
Publicado: (2025)

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

One Token Is Enough: Improving Diffusion Language Models with a Sink Token
por: Zhang, Zihou, et al.
Publicado: (2026)

UniCode: Learning a Unified Codebook for Multimodal Large Language Models
por: Zheng, Sipeng, et al.
Publicado: (2024)