:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Wu, Kaiyu, Han, Pucheng, Zhang, Hualong, Wu, Naigeng, Wang, Keze
Formato:	Preprint
Publicado:	2026
Materias:	Computer Vision and Pattern Recognition
Acceso en línea:	https://arxiv.org/abs/2601.14044
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Enhancing Visual Programming for Visual Reasoning via Probabilistic Graphs
por: Wan, Wentao, et al.
Publicado: (2025)

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

GeoVLM-R1: Reinforcement Fine-Tuning for Improved Remote Sensing Reasoning
por: Fiaz, Mustansar, et al.
Publicado: (2025)

Improving Network Interpretability via Explanation Consistency Evaluation
por: Wu, Hefeng, et al.
Publicado: (2024)

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

Video-R2: Reinforcing Consistent and Grounded Reasoning in Multimodal Language Models
por: Maaz, Muhammad, et al.
Publicado: (2025)

VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning
por: Qi, Zhangyang, et al.
Publicado: (2025)

Improving Few-Shot Change Detection Visual Question Answering via Decision-Ambiguity-guided Reinforcement Fine-Tuning
por: Dong, Fuyu, et al.
Publicado: (2025)

R-C2: Cycle-Consistent Reinforcement Learning Improves Multimodal Reasoning
por: Zhang, Zirui, et al.
Publicado: (2026)

ConsistentRFT: Reducing Visual Hallucinations in Flow-based Reinforcement Fine-Tuning
por: Tan, Xiaofeng, et al.
Publicado: (2026)

Reason-RFT: Reinforcement Fine-Tuning for Visual Reasoning of Vision Language Models
por: Tan, Huajie, et al.
Publicado: (2025)

Unified Multimodal Chain-of-Thought Reward Model through Reinforcement Fine-Tuning
por: Wang, Yibin, et al.
Publicado: (2025)

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

CAPO: Reinforcing Consistent Reasoning in Medical Decision-Making
por: Jiang, Songtao, et al.
Publicado: (2025)

MMAT-1M: A Large Reasoning Dataset for Multimodal Agent Tuning
por: Gao, Tianhong, et al.
Publicado: (2025)

DRIFT: Transferring Reasoning Priors for Efficient MLLM Fine-Tuning
por: Huang, Chao, et al.
Publicado: (2025)

VideoChat-R1: Enhancing Spatio-Temporal Perception via Reinforcement Fine-Tuning
por: Li, Xinhao, et al.
Publicado: (2025)

Skywork R1V2: Multimodal Hybrid Reinforcement Learning for Reasoning
por: Wang, Peiyu, et al.
Publicado: (2025)

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

ViSS-R1: Self-Supervised Reinforcement Video Reasoning
por: Fang, Bo, et al.
Publicado: (2025)

Affordance-R1: Reinforcement Learning for Generalizable Affordance Reasoning in Multimodal Large Language Model
por: Wang, Hanqing, et al.
Publicado: (2025)

Med-CMR: A Fine-Grained Benchmark Integrating Visual Evidence and Clinical Logic for Medical Complex Multimodal Reasoning
por: Gong, Haozhen, et al.
Publicado: (2025)

UniChange: Unifying Change Detection with Multimodal Large Language Model
por: Zhang, Xu, et al.
Publicado: (2025)

VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning
por: Zhu, Liyun, et al.
Publicado: (2025)

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

STAR-R1: Spatial TrAnsformation Reasoning by Reinforcing Multimodal LLMs
por: Li, Zongzhao, et al.
Publicado: (2025)

MedAD-R1: Eliciting Consistent Reasoning in Interpretible Medical Anomaly Detection via Consistency-Reinforced Policy Optimization
por: Zhang, Haitao, et al.
Publicado: (2026)

Cultivating Forensic Reasoning for Generalizable Multimodal Manipulation Detection
por: Zhang, Yuchen, et al.
Publicado: (2026)

Interpretable Logical Anomaly Classification via Constraint Decomposition and Instruction Fine-Tuning
por: Zhang, Xufei, et al.
Publicado: (2026)

MuSLR: Multimodal Symbolic Logical Reasoning
por: Xu, Jundong, et al.
Publicado: (2025)

Self-Rewarded Multimodal Coherent Reasoning Across Diverse Visual Domains
por: Zhang, Jesen, et al.
Publicado: (2025)

Adaptive-VoCo: Complexity-Aware Visual Token Compression for Vision-Language Models
por: Guo, Xiaoyang, et al.
Publicado: (2025)

TempSamp-R1: Effective Temporal Sampling with Reinforcement Fine-Tuning for Video LLMs
por: Li, Yunheng, et al.
Publicado: (2025)

IAD-R1: Reinforcing Consistent Reasoning in Industrial Anomaly Detection
por: Li, Yanhui, et al.
Publicado: (2025)

GeoReason: Aligning Thinking And Answering In Remote Sensing Vision-Language Models Via Logical Consistency Reinforcement Learning
por: Li, Wenshuai, et al.
Publicado: (2026)

LogicNet: A Logical Consistency Embedded Face Attribute Learning Network
por: Wu, Haiyu, et al.
Publicado: (2023)

3DAlign-DAER: Dynamic Attention Policy and Efficient Retrieval Strategy for Fine-grained 3D-Text Alignment at Scale
por: Fan, Yijia, et al.
Publicado: (2025)

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

Retrv-R1: A Reasoning-Driven MLLM Framework for Universal and Efficient Multimodal Retrieval
por: Zhu, Lanyun, et al.
Publicado: (2025)

LASAR: Towards Spatio-temporal Reasoning with Latent Cognitive Map
por: Tang, Jinzhou, et al.
Publicado: (2026)