Weather-R1: Logically Consistent Reinforcement Fine-Tuning for Multimodal Reasoning in Meteorology
Fuente:
arXiv
Saved in:
| Main Authors: | Wu, Kaiyu, Han, Pucheng, Zhang, Hualong, Wu, Naigeng, Wang, Keze |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Enhancing Visual Programming for Visual Reasoning via Probabilistic Graphs
by: Wan, Wentao, et al.
Published: (2025)
by: Wan, Wentao, et al.
Published: (2025)
Reinforcement Fine-Tuning Powers Reasoning Capability of Multimodal Large Language Models
by: Sun, Haoyuan, et al.
Published: (2025)
by: Sun, Haoyuan, et al.
Published: (2025)
GeoVLM-R1: Reinforcement Fine-Tuning for Improved Remote Sensing Reasoning
by: Fiaz, Mustansar, et al.
Published: (2025)
by: Fiaz, Mustansar, et al.
Published: (2025)
VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning
by: Qi, Zhangyang, et al.
Published: (2025)
by: Qi, Zhangyang, et al.
Published: (2025)
Video-R2: Reinforcing Consistent and Grounded Reasoning in Multimodal Language Models
by: Maaz, Muhammad, et al.
Published: (2025)
by: Maaz, Muhammad, et al.
Published: (2025)
ConsistentRFT: Reducing Visual Hallucinations in Flow-based Reinforcement Fine-Tuning
by: Tan, Xiaofeng, et al.
Published: (2026)
by: Tan, Xiaofeng, et al.
Published: (2026)
R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning
by: Zhang, Yi-Fan, et al.
Published: (2025)
by: Zhang, Yi-Fan, et al.
Published: (2025)
R-C2: Cycle-Consistent Reinforcement Learning Improves Multimodal Reasoning
by: Zhang, Zirui, et al.
Published: (2026)
by: Zhang, Zirui, et al.
Published: (2026)
Improving Network Interpretability via Explanation Consistency Evaluation
by: Wu, Hefeng, et al.
Published: (2024)
by: Wu, Hefeng, et al.
Published: (2024)
Improving Few-Shot Change Detection Visual Question Answering via Decision-Ambiguity-guided Reinforcement Fine-Tuning
by: Dong, Fuyu, et al.
Published: (2025)
by: Dong, Fuyu, et al.
Published: (2025)
Unified Multimodal Chain-of-Thought Reward Model through Reinforcement Fine-Tuning
by: Wang, Yibin, et al.
Published: (2025)
by: Wang, Yibin, et al.
Published: (2025)
Video-R1: Reinforcing Video Reasoning in MLLMs
by: Feng, Kaituo, et al.
Published: (2025)
by: Feng, Kaituo, et al.
Published: (2025)
Reason-RFT: Reinforcement Fine-Tuning for Visual Reasoning of Vision Language Models
by: Tan, Huajie, et al.
Published: (2025)
by: Tan, Huajie, et al.
Published: (2025)
VideoChat-R1: Enhancing Spatio-Temporal Perception via Reinforcement Fine-Tuning
by: Li, Xinhao, et al.
Published: (2025)
by: Li, Xinhao, et al.
Published: (2025)
Skywork R1V2: Multimodal Hybrid Reinforcement Learning for Reasoning
by: Wang, Peiyu, et al.
Published: (2025)
by: Wang, Peiyu, et al.
Published: (2025)
MMAT-1M: A Large Reasoning Dataset for Multimodal Agent Tuning
by: Gao, Tianhong, et al.
Published: (2025)
by: Gao, Tianhong, et al.
Published: (2025)
SVQA-R1: Reinforcing Spatial Reasoning in MLLMs via View-Consistent Reward Optimization
by: Wang, Peiyao, et al.
Published: (2025)
by: Wang, Peiyao, et al.
Published: (2025)
CAPO: Reinforcing Consistent Reasoning in Medical Decision-Making
by: Jiang, Songtao, et al.
Published: (2025)
by: Jiang, Songtao, et al.
Published: (2025)
DRIFT: Transferring Reasoning Priors for Efficient MLLM Fine-Tuning
by: Huang, Chao, et al.
Published: (2025)
by: Huang, Chao, et al.
Published: (2025)
ViSS-R1: Self-Supervised Reinforcement Video Reasoning
by: Fang, Bo, et al.
Published: (2025)
by: Fang, Bo, et al.
Published: (2025)
VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning
by: Zhu, Liyun, et al.
Published: (2025)
by: Zhu, Liyun, et al.
Published: (2025)
STAR-R1: Spatial TrAnsformation Reasoning by Reinforcing Multimodal LLMs
by: Li, Zongzhao, et al.
Published: (2025)
by: Li, Zongzhao, et al.
Published: (2025)
VideoRFT: Incentivizing Video Reasoning Capability in MLLMs via Reinforced Fine-Tuning
by: Wang, Qi, et al.
Published: (2025)
by: Wang, Qi, et al.
Published: (2025)
Affordance-R1: Reinforcement Learning for Generalizable Affordance Reasoning in Multimodal Large Language Model
by: Wang, Hanqing, et al.
Published: (2025)
by: Wang, Hanqing, et al.
Published: (2025)
Interpretable Logical Anomaly Classification via Constraint Decomposition and Instruction Fine-Tuning
by: Zhang, Xufei, et al.
Published: (2026)
by: Zhang, Xufei, et al.
Published: (2026)
MuSLR: Multimodal Symbolic Logical Reasoning
by: Xu, Jundong, et al.
Published: (2025)
by: Xu, Jundong, et al.
Published: (2025)
Cultivating Forensic Reasoning for Generalizable Multimodal Manipulation Detection
by: Zhang, Yuchen, et al.
Published: (2026)
by: Zhang, Yuchen, et al.
Published: (2026)
TempSamp-R1: Effective Temporal Sampling with Reinforcement Fine-Tuning for Video LLMs
by: Li, Yunheng, et al.
Published: (2025)
by: Li, Yunheng, et al.
Published: (2025)
MedAD-R1: Eliciting Consistent Reasoning in Interpretible Medical Anomaly Detection via Consistency-Reinforced Policy Optimization
by: Zhang, Haitao, et al.
Published: (2026)
by: Zhang, Haitao, et al.
Published: (2026)
Med-CMR: A Fine-Grained Benchmark Integrating Visual Evidence and Clinical Logic for Medical Complex Multimodal Reasoning
by: Gong, Haozhen, et al.
Published: (2025)
by: Gong, Haozhen, et al.
Published: (2025)
GeoReason: Aligning Thinking And Answering In Remote Sensing Vision-Language Models Via Logical Consistency Reinforcement Learning
by: Li, Wenshuai, et al.
Published: (2026)
by: Li, Wenshuai, et al.
Published: (2026)
GMAI-VL-R1: Harnessing Reinforcement Learning for Multimodal Medical Reasoning
by: Su, Yanzhou, et al.
Published: (2025)
by: Su, Yanzhou, et al.
Published: (2025)
Retrv-R1: A Reasoning-Driven MLLM Framework for Universal and Efficient Multimodal Retrieval
by: Zhu, Lanyun, et al.
Published: (2025)
by: Zhu, Lanyun, et al.
Published: (2025)
LogicNet: A Logical Consistency Embedded Face Attribute Learning Network
by: Wu, Haiyu, et al.
Published: (2023)
by: Wu, Haiyu, et al.
Published: (2023)
IAD-R1: Reinforcing Consistent Reasoning in Industrial Anomaly Detection
by: Li, Yanhui, et al.
Published: (2025)
by: Li, Yanhui, et al.
Published: (2025)
Wan-R1: Verifiable-Reinforcement Learning for Video Reasoning
by: Liu, Ming, et al.
Published: (2026)
by: Liu, Ming, et al.
Published: (2026)
MMhops-R1: Multimodal Multi-hop Reasoning
by: Zhang, Tao, et al.
Published: (2025)
by: Zhang, Tao, et al.
Published: (2025)
Visual-RFT: Visual Reinforcement Fine-Tuning
by: Liu, Ziyu, et al.
Published: (2025)
by: Liu, Ziyu, et al.
Published: (2025)
RGBX-R1: Visual Modality Chain-of-Thought Guided Reinforcement Learning for Multimodal Grounding
by: Wu, Jiahe, et al.
Published: (2026)
by: Wu, Jiahe, et al.
Published: (2026)
VisualQuality-R1: Reasoning-Induced Image Quality Assessment via Reinforcement Learning to Rank
by: Wu, Tianhe, et al.
Published: (2025)
by: Wu, Tianhe, et al.
Published: (2025)
Similar Items
-
Enhancing Visual Programming for Visual Reasoning via Probabilistic Graphs
by: Wan, Wentao, et al.
Published: (2025) -
Reinforcement Fine-Tuning Powers Reasoning Capability of Multimodal Large Language Models
by: Sun, Haoyuan, et al.
Published: (2025) -
GeoVLM-R1: Reinforcement Fine-Tuning for Improved Remote Sensing Reasoning
by: Fiaz, Mustansar, et al.
Published: (2025) -
VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning
by: Qi, Zhangyang, et al.
Published: (2025) -
Video-R2: Reinforcing Consistent and Grounded Reasoning in Multimodal Language Models
by: Maaz, Muhammad, et al.
Published: (2025)