VL-Calibration: Decoupled Confidence Calibration for Large Vision-Language Models Reasoning
Fuente:
arXiv
Saved in:
| Main Authors: | Xiao, Wenyi, Xu, Xinchi, Gan, Leilei |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Fast-Slow Thinking GRPO for Large Vision-Language Model Reasoning
by: Xiao, Wenyi, et al.
Published: (2025)
by: Xiao, Wenyi, et al.
Published: (2025)
Detecting and Mitigating Hallucination in Large Vision Language Models via Fine-Grained AI Feedback
by: Xiao, Wenyi, et al.
Published: (2024)
by: Xiao, Wenyi, et al.
Published: (2024)
Prompt4Trust: A Reinforcement Learning Prompt Augmentation Framework for Clinically-Aligned Confidence Calibration in Multimodal Large Language Models
by: Kriz, Anita, et al.
Published: (2025)
by: Kriz, Anita, et al.
Published: (2025)
MathCoder-VL: Bridging Vision and Code for Enhanced Multimodal Mathematical Reasoning
by: Wang, Ke, et al.
Published: (2025)
by: Wang, Ke, et al.
Published: (2025)
Object-Level Verbalized Confidence Calibration in Vision-Language Models via Semantic Perturbation
by: Zhao, Yunpu, et al.
Published: (2025)
by: Zhao, Yunpu, et al.
Published: (2025)
Bridging the Missing-Modality Gap: Improving Text-Only Calibration of Vision Language Models
by: Kim, Mingyeong, et al.
Published: (2026)
by: Kim, Mingyeong, et al.
Published: (2026)
R1-ShareVL: Incentivizing Reasoning Capability of Multimodal Large Language Models via Share-GRPO
by: Yao, Huanjin, et al.
Published: (2025)
by: Yao, Huanjin, et al.
Published: (2025)
VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning
by: Yuan, Ruifeng, et al.
Published: (2025)
by: Yuan, Ruifeng, et al.
Published: (2025)
Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution
by: Wang, Peng, et al.
Published: (2024)
by: Wang, Peng, et al.
Published: (2024)
SPA-VL: A Comprehensive Safety Preference Alignment Dataset for Vision Language Model
by: Zhang, Yongting, et al.
Published: (2024)
by: Zhang, Yongting, et al.
Published: (2024)
DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding
by: Wu, Zhiyu, et al.
Published: (2024)
by: Wu, Zhiyu, et al.
Published: (2024)
Mitigating Object Hallucinations in Large Vision-Language Models via Attention Calibration
by: Zhu, Younan, et al.
Published: (2025)
by: Zhu, Younan, et al.
Published: (2025)
Crowdsource, Crawl, or Generate? Creating SEA-VL, a Multicultural Vision-Language Dataset for Southeast Asia
by: Cahyawijaya, Samuel, et al.
Published: (2025)
by: Cahyawijaya, Samuel, et al.
Published: (2025)
A-VL: Adaptive Attention for Large Vision-Language Models
by: Zhang, Junyang, et al.
Published: (2024)
by: Zhang, Junyang, et al.
Published: (2024)
Don't Miss the Forest for the Trees: Attentional Vision Calibration for Large Vision Language Models
by: Woo, Sangmin, et al.
Published: (2024)
by: Woo, Sangmin, et al.
Published: (2024)
Unveiling Uncertainty: A Deep Dive into Calibration and Performance of Multimodal Large Language Models
by: Chen, Zijun, et al.
Published: (2024)
by: Chen, Zijun, et al.
Published: (2024)
Rethinking Visual Attribution for Chest X-ray Reasoning in Large Vision Language Models
by: Xiong, Guangzhi, et al.
Published: (2026)
by: Xiong, Guangzhi, et al.
Published: (2026)
OMIBench: Benchmarking Olympiad-Level Multi-Image Reasoning in Large Vision-Language Model
by: Chen, Qiguang, et al.
Published: (2026)
by: Chen, Qiguang, et al.
Published: (2026)
A Cognitive Evaluation Benchmark of Image Reasoning and Description for Large Vision-Language Models
by: Song, Xiujie, et al.
Published: (2024)
by: Song, Xiujie, et al.
Published: (2024)
R1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization
by: Zhang, Jingyi, et al.
Published: (2025)
by: Zhang, Jingyi, et al.
Published: (2025)
SpatialLadder: Progressive Training for Spatial Reasoning in Vision-Language Models
by: Li, Hongxing, et al.
Published: (2025)
by: Li, Hongxing, et al.
Published: (2025)
C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via Text Feature Dispersion
by: Yoon, Hee Suk, et al.
Published: (2024)
by: Yoon, Hee Suk, et al.
Published: (2024)
On the Cultural Anachronism and Temporal Reasoning in Vision Language Models
by: Ranjan, Mukul, et al.
Published: (2026)
by: Ranjan, Mukul, et al.
Published: (2026)
Reward Design for Physical Reasoning in Vision-Language Models
by: Lilienthal, Derek, et al.
Published: (2026)
by: Lilienthal, Derek, et al.
Published: (2026)
Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models
by: Huang, Wenxuan, et al.
Published: (2025)
by: Huang, Wenxuan, et al.
Published: (2025)
ZipVL: Efficient Large Vision-Language Models with Dynamic Token Sparsification
by: He, Yefei, et al.
Published: (2024)
by: He, Yefei, et al.
Published: (2024)
Cross-Modal Safety Mechanism Transfer in Large Vision-Language Models
by: Xu, Shicheng, et al.
Published: (2024)
by: Xu, Shicheng, et al.
Published: (2024)
Correctable Landmark Discovery via Large Models for Vision-Language Navigation
by: Lin, Bingqian, et al.
Published: (2024)
by: Lin, Bingqian, et al.
Published: (2024)
Qianfan-VL: Domain-Enhanced Universal Vision-Language Models
by: Dong, Daxiang, et al.
Published: (2025)
by: Dong, Daxiang, et al.
Published: (2025)
R1-SyntheticVL: Is Synthetic Data from Generative Models Ready for Multimodal Large Language Model?
by: Zhang, Jingyi, et al.
Published: (2026)
by: Zhang, Jingyi, et al.
Published: (2026)
Investigating and Mitigating the Multimodal Hallucination Snowballing in Large Vision-Language Models
by: Zhong, Weihong, et al.
Published: (2024)
by: Zhong, Weihong, et al.
Published: (2024)
Towards Calibrated Robust Fine-Tuning of Vision-Language Models
by: Oh, Changdae, et al.
Published: (2023)
by: Oh, Changdae, et al.
Published: (2023)
NavGPT-2: Unleashing Navigational Reasoning Capability for Large Vision-Language Models
by: Zhou, Gengze, et al.
Published: (2024)
by: Zhou, Gengze, et al.
Published: (2024)
VL-Cache: Sparsity and Modality-Aware KV Cache Compression for Vision-Language Model Inference Acceleration
by: Tu, Dezhan, et al.
Published: (2024)
by: Tu, Dezhan, et al.
Published: (2024)
Florence-VL: Enhancing Vision-Language Models with Generative Vision Encoder and Depth-Breadth Fusion
by: Chen, Jiuhai, et al.
Published: (2024)
by: Chen, Jiuhai, et al.
Published: (2024)
Causal-SAM-LLM: Large Language Models as Causal Reasoners for Robust Medical Segmentation
by: Tang, Tao, et al.
Published: (2025)
by: Tang, Tao, et al.
Published: (2025)
Decoupling Perception and Calibration: Label-Efficient Image Quality Assessment Framework
by: Li, Xinyue, et al.
Published: (2026)
by: Li, Xinyue, et al.
Published: (2026)
Benchmarking Deflection and Hallucination in Large Vision-Language Models
by: Moratelli, Nicholas, et al.
Published: (2026)
by: Moratelli, Nicholas, et al.
Published: (2026)
An Examination of the Compositionality of Large Generative Vision-Language Models
by: Ma, Teli, et al.
Published: (2023)
by: Ma, Teli, et al.
Published: (2023)
Mitigating Multilingual Hallucination in Large Vision-Language Models
by: Qu, Xiaoye, et al.
Published: (2024)
by: Qu, Xiaoye, et al.
Published: (2024)
Similar Items
-
Fast-Slow Thinking GRPO for Large Vision-Language Model Reasoning
by: Xiao, Wenyi, et al.
Published: (2025) -
Detecting and Mitigating Hallucination in Large Vision Language Models via Fine-Grained AI Feedback
by: Xiao, Wenyi, et al.
Published: (2024) -
Prompt4Trust: A Reinforcement Learning Prompt Augmentation Framework for Clinically-Aligned Confidence Calibration in Multimodal Large Language Models
by: Kriz, Anita, et al.
Published: (2025) -
MathCoder-VL: Bridging Vision and Code for Enhanced Multimodal Mathematical Reasoning
by: Wang, Ke, et al.
Published: (2025) -
Object-Level Verbalized Confidence Calibration in Vision-Language Models via Semantic Perturbation
by: Zhao, Yunpu, et al.
Published: (2025)