Cover Image

SophiaVL-R1: Reinforcing MLLMs Reasoning with Thinking Reward

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Fan, Kaixuan, Feng, Kaituo, Lyu, Haoming, Zhou, Dongzhan, Yue, Xiangyu
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Video-R1: Reinforcing Video Reasoning in MLLMs
by: Feng, Kaituo, et al.
Published: (2025)

MME-Reasoning: A Comprehensive Benchmark for Logical Reasoning in MLLMs
by: Yuan, Jiakang, et al.
Published: (2025)

Touch-R1: Reinforcing Touch Reasoning in MLLMs
by: Lai, Yingxin, et al.
Published: (2026)

Gen-Searcher: Reinforcing Agentic Search for Image Generation
by: Feng, Kaituo, et al.
Published: (2026)

OpenSearch-VL: An Open Recipe for Frontier Multimodal Search Agents
by: Chen, Shuang, et al.
Published: (2026)

SVQA-R1: Reinforcing Spatial Reasoning in MLLMs via View-Consistent Reward Optimization
by: Wang, Peiyao, et al.
Published: (2025)

SpaceR: Reinforcing MLLMs in Video Spatial Reasoning
by: Ouyang, Kun, et al.
Published: (2025)

Skywork-VL Reward: An Effective Reward Model for Multimodal Understanding and Reasoning
by: Wang, Xiaokun, et al.
Published: (2025)

S1-VL: Scientific Multimodal Reasoning Model with Thinking-with-Images
by: Li, Qingxiao, et al.
Published: (2026)

GMAI-VL-R1: Harnessing Reinforcement Learning for Multimodal Medical Reasoning
by: Su, Yanzhou, et al.
Published: (2025)

SketchThinker-R1: Towards Efficient Sketch-Style Reasoning in Large Multimodal Models
by: Zhang, Ruiyang, et al.
Published: (2026)

MokA: Multimodal Low-Rank Adaptation for MLLMs
by: Wei, Yake, et al.
Published: (2025)

Reinforcing Spatial Reasoning in Vision-Language Models with Interwoven Thinking and Visual Drawing
by: Wu, Junfei, et al.
Published: (2025)

OneThinker: All-in-one Reasoning Model for Image and Video
by: Feng, Kaituo, et al.
Published: (2025)

SAIL-RL: Guiding MLLMs in When and How to Think via Dual-Reward RL Tuning
by: Shu, Fangxun, et al.
Published: (2025)

Reinforcing Consistency in Video MLLMs with Structured Rewards
by: Quan, Yihao, et al.
Published: (2026)

VR-Thinker: Boosting Video Reward Models through Thinking-with-Image Reasoning
by: Wang, Qunzhong, et al.
Published: (2025)

HypDAE: Hyperbolic Diffusion Autoencoders for Hierarchical Few-shot Image Generation
by: Li, Lingxiao, et al.
Published: (2024)

From Web to Pixels: Bringing Agentic Search into Visual Perception
by: Yang, Bokang, et al.
Published: (2026)

Unhackable Temporal Rewarding for Scalable Video MLLMs
by: Yu, En, et al.
Published: (2025)

Attention Reallocation: Towards Zero-cost and Controllable Hallucination Mitigation of MLLMs
by: Tu, Chongjun, et al.
Published: (2025)

Sketch-in-Latents: Eliciting Unified Reasoning in MLLMs
by: Tong, Jintao, et al.
Published: (2025)

VideoCap-R1: Enhancing MLLMs for Video Captioning via Structured Thinking
by: Meng, Desen, et al.
Published: (2025)

GRIT: Teaching MLLMs to Think with Images
by: Fan, Yue, et al.
Published: (2025)

Ego to World: Collaborative Spatial Reasoning in Embodied Systems via Reinforcement Learning
by: Zhou, Heng, et al.
Published: (2026)

Awaker2.5-VL: Stably Scaling MLLMs with Parameter-Efficient Mixture of Experts
by: Long, Jinqiang, et al.
Published: (2024)

Think 360°: Evaluating the Width-centric Reasoning Capability of MLLMs Beyond Depth
by: Chen, Mingrui, et al.
Published: (2026)

Singpath-VL Technical Report
by: Qiu, Zhen, et al.
Published: (2026)

Pose-RFT: Enhancing MLLMs for 3D Pose Generation via Hybrid Action Reinforcement Fine-Tuning
by: Li, Bao, et al.
Published: (2025)

UAV-VL-R1: Generalizing Vision-Language Models via Supervised Fine-Tuning and Multi-Stage GRPO for UAV Visual Reasoning
by: Guan, Jiajin, et al.
Published: (2025)

VideoRFT: Incentivizing Video Reasoning Capability in MLLMs via Reinforced Fine-Tuning
by: Wang, Qi, et al.
Published: (2025)

Perception-R1: Advancing Multimodal Reasoning Capabilities of MLLMs via Visual Perception Reward
by: Xiao, Tong, et al.
Published: (2025)

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning
by: Zhang, Yi-Fan, et al.
Published: (2025)

Spatial Preference Rewarding for MLLMs Spatial Understanding
by: Qiu, Han, et al.
Published: (2025)

SpaceVista: All-Scale Visual Spatial Reasoning from mm to km
by: Sun, Peiwen, et al.
Published: (2025)

What, Whether and How? Unveiling Process Reward Models for Thinking with Images Reasoning
by: Zhou, Yujin, et al.
Published: (2026)

VL-RewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models
by: Li, Lei, et al.
Published: (2024)

Think, then Score: Decoupled Reasoning and Scoring for Video Reward Modeling
by: Wang, Yuan, et al.
Published: (2026)

Improving the Reasoning of Multi-Image Grounding in MLLMs via Reinforcement Learning
by: Zhang, Bob, et al.
Published: (2025)

Reinforcing Video Reasoning with Focused Thinking
by: Dang, Jisheng, et al.
Published: (2025)