RIV: Recursive Introspection Mask Diffusion Vision Language Model
Fuente:
arXiv
Saved in:
| Main Authors: | Li, YuQian, Qiao, Limeng, Ma, Lin |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Robust Pre-Training of Medical Vision-and-Language Models with Domain-Invariant Multi-Modal Masked Reconstruction
by: Filvantorkaman, Melika, et al.
Published: (2026)
by: Filvantorkaman, Melika, et al.
Published: (2026)
VisionZip: Longer is Better but Not Necessary in Vision Language Models
by: Yang, Senqiao, et al.
Published: (2024)
by: Yang, Senqiao, et al.
Published: (2024)
From Introspection to Best Practices: Principled Analysis of Demonstrations in Multimodal In-Context Learning
by: Xu, Nan, et al.
Published: (2024)
by: Xu, Nan, et al.
Published: (2024)
VisionThink: Smart and Efficient Vision Language Model via Reinforcement Learning
by: Yang, Senqiao, et al.
Published: (2025)
by: Yang, Senqiao, et al.
Published: (2025)
AdaptVision: Efficient Vision-Language Models via Adaptive Visual Acquisition
by: Lin, Zichuan, et al.
Published: (2025)
by: Lin, Zichuan, et al.
Published: (2025)
Transferring Textual Preferences to Vision-Language Understanding through Model Merging
by: Li, Chen-An, et al.
Published: (2025)
by: Li, Chen-An, et al.
Published: (2025)
Differentiable Prompt Learning for Vision Language Models
by: Huang, Zhenhan, et al.
Published: (2024)
by: Huang, Zhenhan, et al.
Published: (2024)
Internal Activation Revision: Safeguarding Vision Language Models Without Parameter Update
by: Li, Qing, et al.
Published: (2025)
by: Li, Qing, et al.
Published: (2025)
Nemesis: Normalizing the Soft-prompt Vectors of Vision-Language Models
by: Fu, Shuai, et al.
Published: (2024)
by: Fu, Shuai, et al.
Published: (2024)
Voila-A: Aligning Vision-Language Models with User's Gaze Attention
by: Yan, Kun, et al.
Published: (2023)
by: Yan, Kun, et al.
Published: (2023)
Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning
by: Zhai, Yuexiang, et al.
Published: (2024)
by: Zhai, Yuexiang, et al.
Published: (2024)
LangGap: Diagnosing and Closing the Language Gap in Vision-Language-Action Models
by: Hou, Yuchen, et al.
Published: (2026)
by: Hou, Yuchen, et al.
Published: (2026)
ECoFLaP: Efficient Coarse-to-Fine Layer-Wise Pruning for Vision-Language Models
by: Sung, Yi-Lin, et al.
Published: (2023)
by: Sung, Yi-Lin, et al.
Published: (2023)
Small Vision-Language Models are Smart Compressors for Long Video Understanding
by: Fei, Junjie, et al.
Published: (2026)
by: Fei, Junjie, et al.
Published: (2026)
Vision-Language Model Fine-Tuning via Simple Parameter-Efficient Modification
by: Li, Ming, et al.
Published: (2024)
by: Li, Ming, et al.
Published: (2024)
A Novel Framework for Automated Explain Vision Model Using Vision-Language Models
by: Nguyen, Phu-Vinh, et al.
Published: (2025)
by: Nguyen, Phu-Vinh, et al.
Published: (2025)
Imperfect Vision Encoders: Efficient and Robust Tuning for Vision-Language Models
by: Panos, Aristeidis, et al.
Published: (2024)
by: Panos, Aristeidis, et al.
Published: (2024)
MouSi: Poly-Visual-Expert Vision-Language Models
by: Fan, Xiaoran, et al.
Published: (2024)
by: Fan, Xiaoran, et al.
Published: (2024)
Efficient Medical Vision-Language Alignment Through Adapting Masked Vision Models
by: Lian, Chenyu, et al.
Published: (2025)
by: Lian, Chenyu, et al.
Published: (2025)
Masking Teacher and Reinforcing Student for Distilling Vision-Language Models
by: Lee, Byung-Kwan, et al.
Published: (2025)
by: Lee, Byung-Kwan, et al.
Published: (2025)
Vision-Language Model Based Handwriting Verification
by: Chauhan, Mihir, et al.
Published: (2024)
by: Chauhan, Mihir, et al.
Published: (2024)
How Culturally Aware are Vision-Language Models?
by: Burda-Lassen, Olena, et al.
Published: (2024)
by: Burda-Lassen, Olena, et al.
Published: (2024)
VisPlay: Self-Evolving Vision-Language Models from Images
by: He, Yicheng, et al.
Published: (2025)
by: He, Yicheng, 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)
Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models
by: Huang, Wenxuan, et al.
Published: (2025)
by: Huang, Wenxuan, et al.
Published: (2025)
Vision-Language Models Can Self-Improve Reasoning via Reflection
by: Cheng, Kanzhi, et al.
Published: (2024)
by: Cheng, Kanzhi, et al.
Published: (2024)
In-Situ Tweedie Discrete Diffusion Models
by: Li, Xiao, et al.
Published: (2025)
by: Li, Xiao, et al.
Published: (2025)
Towards Human-Level Understanding of Complex Process Engineering Schematics: A Pedagogical, Introspective Multi-Agent Framework for Open-Domain Question Answering
by: Sakhinana, Sagar Srinivas, et al.
Published: (2024)
by: Sakhinana, Sagar Srinivas, et al.
Published: (2024)
Mordal: Automated Pretrained Model Selection for Vision Language Models
by: He, Shiqi, et al.
Published: (2025)
by: He, Shiqi, et al.
Published: (2025)
The Best of Both Worlds: Integrating Language Models and Diffusion Models for Video Generation
by: Yin, Aoxiong, et al.
Published: (2025)
by: Yin, Aoxiong, et al.
Published: (2025)
Vision-DeepResearch Benchmark: Rethinking Visual and Textual Search for Multimodal Large Language Models
by: Zeng, Yu, et al.
Published: (2026)
by: Zeng, Yu, et al.
Published: (2026)
Modeling Caption Diversity in Contrastive Vision-Language Pretraining
by: Lavoie, Samuel, et al.
Published: (2024)
by: Lavoie, Samuel, et al.
Published: (2024)
Efficient Architectures for High Resolution Vision-Language Models
by: Carvalho, Miguel, et al.
Published: (2025)
by: Carvalho, Miguel, et al.
Published: (2025)
Understanding the Effects of Distractors on Reasoning Vision-Language Models
by: Bae, Jiyun, et al.
Published: (2025)
by: Bae, Jiyun, et al.
Published: (2025)
Coordinated Robustness Evaluation Framework for Vision-Language Models
by: Babu, Ashwin Ramesh, et al.
Published: (2025)
by: Babu, Ashwin Ramesh, et al.
Published: (2025)
Auto MC-Reward: Automated Dense Reward Design with Large Language Models for Minecraft
by: Li, Hao, et al.
Published: (2023)
by: Li, Hao, et al.
Published: (2023)
Do Vision and Language Models Share Concepts? A Vector Space Alignment Study
by: Li, Jiaang, et al.
Published: (2023)
by: Li, Jiaang, et al.
Published: (2023)
MiniGPT-3D: Efficiently Aligning 3D Point Clouds with Large Language Models using 2D Priors
by: Tang, Yuan, et al.
Published: (2024)
by: Tang, Yuan, et al.
Published: (2024)
Semantic-Clipping: Efficient Vision-Language Modeling with Semantic-Guidedd Visual Selection
by: Li, Bangzheng, et al.
Published: (2025)
by: Li, Bangzheng, et al.
Published: (2025)
Situational Awareness Matters in 3D Vision Language Reasoning
by: Man, Yunze, et al.
Published: (2024)
by: Man, Yunze, et al.
Published: (2024)
Similar Items
-
Robust Pre-Training of Medical Vision-and-Language Models with Domain-Invariant Multi-Modal Masked Reconstruction
by: Filvantorkaman, Melika, et al.
Published: (2026) -
VisionZip: Longer is Better but Not Necessary in Vision Language Models
by: Yang, Senqiao, et al.
Published: (2024) -
From Introspection to Best Practices: Principled Analysis of Demonstrations in Multimodal In-Context Learning
by: Xu, Nan, et al.
Published: (2024) -
VisionThink: Smart and Efficient Vision Language Model via Reinforcement Learning
by: Yang, Senqiao, et al.
Published: (2025) -
AdaptVision: Efficient Vision-Language Models via Adaptive Visual Acquisition
by: Lin, Zichuan, et al.
Published: (2025)