VisPlay: Self-Evolving Vision-Language Models from Images
Fuente:
arXiv
Saved in:
| Main Authors: | He, Yicheng, Huang, Chengsong, Li, Zongxia, Huang, Jiaxin, Yang, Yonghui |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
MM-Zero: Self-Evolving Multi-Model Vision Language Models From Zero Data
by: Li, Zongxia, et al.
Published: (2026)
by: Li, Zongxia, et al.
Published: (2026)
AdaptVision: Efficient Vision-Language Models via Adaptive Visual Acquisition
by: Lin, Zichuan, et al.
Published: (2025)
by: Lin, Zichuan, et al.
Published: (2025)
A Survey of State of the Art Large Vision Language Models: Alignment, Benchmark, Evaluations and Challenges
by: Li, Zongxia, et al.
Published: (2025)
by: Li, Zongxia, et al.
Published: (2025)
Self-Play Fine-Tuning of Diffusion Models for Text-to-Image Generation
by: Yuan, Huizhuo, et al.
Published: (2024)
by: Yuan, Huizhuo, et al.
Published: (2024)
VisCodex: Unified Multimodal Code Generation via Merging Vision and Coding Models
by: Jiang, Lingjie, et al.
Published: (2025)
by: Jiang, Lingjie, et al.
Published: (2025)
CrossWordBench: Evaluating the Reasoning Capabilities of LLMs and LVLMs with Controllable Puzzle Generation
by: Leng, Jixuan, et al.
Published: (2025)
by: Leng, Jixuan, et al.
Published: (2025)
Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement
by: Wang, Xiyao, et al.
Published: (2024)
by: Wang, Xiyao, et al.
Published: (2024)
Diving into Self-Evolving Training for Multimodal Reasoning
by: Liu, Wei, et al.
Published: (2024)
by: Liu, Wei, et al.
Published: (2024)
Differentiable Prompt Learning for Vision Language Models
by: Huang, Zhenhan, et al.
Published: (2024)
by: Huang, Zhenhan, et al.
Published: (2024)
Vision-Language Models Can Self-Improve Reasoning via Reflection
by: Cheng, Kanzhi, et al.
Published: (2024)
by: Cheng, Kanzhi, et al.
Published: (2024)
R-Zero: Self-Evolving Reasoning LLM from Zero Data
by: Huang, Chengsong, et al.
Published: (2025)
by: Huang, Chengsong, 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)
VisMem: Latent Vision Memory Unlocks Potential of Vision-Language Models
by: Yu, Xinlei, et al.
Published: (2025)
by: Yu, Xinlei, et al.
Published: (2025)
Puzzled by Puzzles: When Vision-Language Models Can't Take a Hint
by: Lee, Heekyung, et al.
Published: (2025)
by: Lee, Heekyung, et al.
Published: (2025)
Mordal: Automated Pretrained Model Selection for Vision Language Models
by: He, Shiqi, et al.
Published: (2025)
by: He, Shiqi, 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)
EvolveNav: Empowering LLM-Based Vision-Language Navigation via Self-Improving Embodied Reasoning
by: Lin, Bingqian, et al.
Published: (2025)
by: Lin, Bingqian, et al.
Published: (2025)
VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models
by: Sartori, Camilo Chacón, et al.
Published: (2024)
by: Sartori, Camilo Chacón, et al.
Published: (2024)
VisAidMath: Benchmarking Visual-Aided Mathematical Reasoning
by: Ma, Jingkun, et al.
Published: (2024)
by: Ma, Jingkun, et al.
Published: (2024)
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)
RewardHarness: Self-Evolving Agentic Post-Training
by: Zhang, Yuxuan, et al.
Published: (2026)
by: Zhang, Yuxuan, et al.
Published: (2026)
Mimicking or Reasoning: Rethinking Multi-Modal In-Context Learning in Vision-Language Models
by: Huang, Chengyue, et al.
Published: (2025)
by: Huang, Chengyue, et al.
Published: (2025)
From EduVisBench to EduVisAgent: A Benchmark and Multi-Agent Framework for Reasoning-Driven Pedagogical Visualization
by: Ji, Haonian, et al.
Published: (2025)
by: Ji, Haonian, et al.
Published: (2025)
An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models
by: Chen, Liang, et al.
Published: (2024)
by: Chen, Liang, 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)
Back to the Barn with LLAMAs: Evolving Pretrained LLM Backbones in Finetuning Vision Language Models
by: Horawalavithana, Sameera, et al.
Published: (2026)
by: Horawalavithana, Sameera, et al.
Published: (2026)
Exploring Transfer Learning in Medical Image Segmentation using Vision-Language Models
by: Poudel, Kanchan, et al.
Published: (2023)
by: Poudel, Kanchan, et al.
Published: (2023)
VisionThink: Smart and Efficient Vision Language Model via Reinforcement Learning
by: Yang, Senqiao, et al.
Published: (2025)
by: Yang, Senqiao, et al.
Published: (2025)
Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models
by: Huang, Wenxuan, et al.
Published: (2025)
by: Huang, Wenxuan, et al.
Published: (2025)
Mitigating Object Hallucination in Large Vision-Language Models via Image-Grounded Guidance
by: Zhao, Linxi, et al.
Published: (2024)
by: Zhao, Linxi, et al.
Published: (2024)
Symmetrical Visual Contrastive Optimization: Aligning Vision-Language Models with Minimal Contrastive Images
by: Wu, Shengguang, et al.
Published: (2025)
by: Wu, Shengguang, 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)
Leveraging Large Language Models for Scalable Vector Graphics-Driven Image Understanding
by: Cai, Mu, et al.
Published: (2023)
by: Cai, Mu, et al.
Published: (2023)
SQ-LLaVA: Self-Questioning for Large Vision-Language Assistant
by: Sun, Guohao, et al.
Published: (2024)
by: Sun, Guohao, et al.
Published: (2024)
COSMOS: Cross-Modality Self-Distillation for Vision Language Pre-training
by: Kim, Sanghwan, et al.
Published: (2024)
by: Kim, Sanghwan, et al.
Published: (2024)
Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences
by: Wang, Xiyao, et al.
Published: (2024)
by: Wang, Xiyao, et al.
Published: (2024)
VCM: Vision Concept Modeling Based on Implicit Contrastive Learning with Vision-Language Instruction Fine-Tuning
by: Luo, Run, et al.
Published: (2025)
by: Luo, Run, et al.
Published: (2025)
Enhancing Vision-Language Model Pre-training with Image-text Pair Pruning Based on Word Frequency
by: Liang, Mingliang, et al.
Published: (2024)
by: Liang, Mingliang, et al.
Published: (2024)
Uni-Mlip: Unified Self-supervision for Medical Vision Language Pre-training
by: Bawazir, Ameera, et al.
Published: (2024)
by: Bawazir, Ameera, 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)
Similar Items
-
MM-Zero: Self-Evolving Multi-Model Vision Language Models From Zero Data
by: Li, Zongxia, et al.
Published: (2026) -
AdaptVision: Efficient Vision-Language Models via Adaptive Visual Acquisition
by: Lin, Zichuan, et al.
Published: (2025) -
A Survey of State of the Art Large Vision Language Models: Alignment, Benchmark, Evaluations and Challenges
by: Li, Zongxia, et al.
Published: (2025) -
Self-Play Fine-Tuning of Diffusion Models for Text-to-Image Generation
by: Yuan, Huizhuo, et al.
Published: (2024) -
VisCodex: Unified Multimodal Code Generation via Merging Vision and Coding Models
by: Jiang, Lingjie, et al.
Published: (2025)