Self-Evolving Visual Concept Library using Vision-Language Critics
Fuente:
arXiv
Saved in:
| Main Authors: | Sehgal, Atharva, Yuan, Patrick, Hu, Ziniu, Yue, Yisong, Sun, Jennifer J., Chaudhuri, Swarat |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Beyond Accuracy: Metrics that Uncover What Makes a 'Good' Visual Descriptor
by: Lin, Ethan, et al.
Published: (2025)
by: Lin, Ethan, et al.
Published: (2025)
Escaping Plato's Cave: JAM for Aligning Independently Trained Vision and Language Models
by: Yoon, Lauren Hyoseo, et al.
Published: (2025)
by: Yoon, Lauren Hyoseo, et al.
Published: (2025)
Neurosymbolic Grounding for Compositional World Models
by: Sehgal, Atharva, et al.
Published: (2023)
by: Sehgal, Atharva, et al.
Published: (2023)
Symbolic Regression with a Learned Concept Library
by: Grayeli, Arya, et al.
Published: (2024)
by: Grayeli, Arya, et al.
Published: (2024)
Pre-trained Vision-Language Models Learn Discoverable Visual Concepts
by: Zang, Yuan, et al.
Published: (2024)
by: Zang, Yuan, et al.
Published: (2024)
Déjà Vu Memorization in Vision-Language Models
by: Jayaraman, Bargav, et al.
Published: (2024)
by: Jayaraman, Bargav, et al.
Published: (2024)
Active Zero: Self-Evolving Vision-Language Models through Active Environment Exploration
by: He, Jinghan, et al.
Published: (2026)
by: He, Jinghan, et al.
Published: (2026)
Learning to Infer Generative Template Programs for Visual Concepts
by: Jones, R. Kenny, et al.
Published: (2024)
by: Jones, R. Kenny, et al.
Published: (2024)
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)
Stable Vision Concept Transformers for Medical Diagnosis
by: Hu, Lijie, et al.
Published: (2025)
by: Hu, Lijie, et al.
Published: (2025)
VL-SAE: Interpreting and Enhancing Vision-Language Alignment with a Unified Concept Set
by: Shen, Shufan, et al.
Published: (2025)
by: Shen, Shufan, et al.
Published: (2025)
SceneCraft: An LLM Agent for Synthesizing 3D Scene as Blender Code
by: Hu, Ziniu, et al.
Published: (2024)
by: Hu, Ziniu, et al.
Published: (2024)
Towards Understanding How Knowledge Evolves in Large Vision-Language Models
by: Wang, Sudong, et al.
Published: (2025)
by: Wang, Sudong, et al.
Published: (2025)
Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models
by: Zhang, Ce, et al.
Published: (2024)
by: Zhang, Ce, et al.
Published: (2024)
Beyond Pairwise Preferences: Listwise Reward-Aware Alignment for Diffusion Models
by: Wang, Austin, et al.
Published: (2026)
by: Wang, Austin, et al.
Published: (2026)
LLMs as Visual Explainers: Advancing Image Classification with Evolving Visual Descriptions
by: Han, Songhao, et al.
Published: (2023)
by: Han, Songhao, et al.
Published: (2023)
VisPlay: Self-Evolving Vision-Language Models from Images
by: He, Yicheng, et al.
Published: (2025)
by: He, Yicheng, et al.
Published: (2025)
GRPO-TTA: Test-Time Visual Tuning for Vision-Language Models via GRPO-Driven Reinforcement Learning
by: Li, Yujun, et al.
Published: (2026)
by: Li, Yujun, et al.
Published: (2026)
Unsupervised Representation Learning from Sparse Transformation Analysis
by: Song, Yue, et al.
Published: (2024)
by: Song, Yue, et al.
Published: (2024)
Simple Agents Outperform Experts in Biomedical Imaging Workflow Optimization
by: Xuefei, et al.
Published: (2025)
by: Xuefei, et al.
Published: (2025)
Visualizing the loss landscape of Self-supervised Vision Transformer
by: Lee, Youngwan, et al.
Published: (2024)
by: Lee, Youngwan, et al.
Published: (2024)
EvoVLA: Self-Evolving Vision-Language-Action Model
by: Liu, Zeting, et al.
Published: (2025)
by: Liu, Zeting, et al.
Published: (2025)
VLG-CBM: Training Concept Bottleneck Models with Vision-Language Guidance
by: Srivastava, Divyansh, et al.
Published: (2024)
by: Srivastava, Divyansh, et al.
Published: (2024)
Split Gibbs Discrete Diffusion Posterior Sampling
by: Chu, Wenda, et al.
Published: (2025)
by: Chu, Wenda, et al.
Published: (2025)
Vision-Language Models Encode Clinical Guidelines for Concept-Based Medical Reasoning
by: Harmanani, Mohamed, et al.
Published: (2026)
by: Harmanani, Mohamed, et al.
Published: (2026)
Concept-skill Transferability-based Data Selection for Large Vision-Language Models
by: Lee, Jaewoo, et al.
Published: (2024)
by: Lee, Jaewoo, et al.
Published: (2024)
Visual Agentic AI for Spatial Reasoning with a Dynamic API
by: Marsili, Damiano, et al.
Published: (2025)
by: Marsili, Damiano, et al.
Published: (2025)
Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play Priors
by: Wu, Zihui, et al.
Published: (2024)
by: Wu, Zihui, et al.
Published: (2024)
Attribute-based Visual Reprogramming for Vision-Language Models
by: Cai, Chengyi, et al.
Published: (2025)
by: Cai, Chengyi, et al.
Published: (2025)
CFM: Language-aligned Concept Foundation Model for Vision
by: Wittenmayer, Kai, et al.
Published: (2026)
by: Wittenmayer, Kai, et al.
Published: (2026)
STLLaVA-Med: Self-Training Large Language and Vision Assistant for Medical Question-Answering
by: Sun, Guohao, et al.
Published: (2024)
by: Sun, Guohao, et al.
Published: (2024)
Text-to-CAD Generation Through Infusing Visual Feedback in Large Language Models
by: Wang, Ruiyu, et al.
Published: (2025)
by: Wang, Ruiyu, et al.
Published: (2025)
GreedyPrune: Retenting Critical Visual Token Set for Large Vision Language Models
by: Pei, Ruiguang, et al.
Published: (2025)
by: Pei, Ruiguang, et al.
Published: (2025)
Enhancing Large Vision Language Models with Self-Training on Image Comprehension
by: Deng, Yihe, et al.
Published: (2024)
by: Deng, Yihe, et al.
Published: (2024)
Handling Imbalanced Pseudolabels for Vision-Language Models with Concept Alignment and Confusion-Aware Calibrated Margin
by: Wang, Yuchen, et al.
Published: (2025)
by: Wang, Yuchen, et al.
Published: (2025)
Towards Interpreting Visual Information Processing in Vision-Language Models
by: Neo, Clement, et al.
Published: (2024)
by: Neo, Clement, et al.
Published: (2024)
Learning Calibrated Uncertainties for Domain Shift: A Distributionally Robust Learning Approach
by: Wang, Haoxuan, et al.
Published: (2020)
by: Wang, Haoxuan, et al.
Published: (2020)
The Illusion of Progress? A Critical Look at Test-Time Adaptation for Vision-Language Models
by: Sheng, Lijun, et al.
Published: (2025)
by: Sheng, Lijun, et al.
Published: (2025)
Enhancing Zero-Shot Image Recognition in Vision-Language Models through Human-like Concept Guidance
by: Liu, Hui, et al.
Published: (2025)
by: Liu, Hui, et al.
Published: (2025)
Explainable Concept Generation through Vision-Language Preference Learning for Understanding Neural Networks' Internal Representations
by: Taparia, Aditya, et al.
Published: (2024)
by: Taparia, Aditya, et al.
Published: (2024)
Similar Items
-
Beyond Accuracy: Metrics that Uncover What Makes a 'Good' Visual Descriptor
by: Lin, Ethan, et al.
Published: (2025) -
Escaping Plato's Cave: JAM for Aligning Independently Trained Vision and Language Models
by: Yoon, Lauren Hyoseo, et al.
Published: (2025) -
Neurosymbolic Grounding for Compositional World Models
by: Sehgal, Atharva, et al.
Published: (2023) -
Symbolic Regression with a Learned Concept Library
by: Grayeli, Arya, et al.
Published: (2024) -
Pre-trained Vision-Language Models Learn Discoverable Visual Concepts
by: Zang, Yuan, et al.
Published: (2024)