Cover Image

MAO: Efficient Model-Agnostic Optimization of Prompt Tuning for Vision-Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Haoyang, Zhou, Siyu, Wang, Liang, Long, Guodong
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Multimedia
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

DPC: Dual-Prompt Collaboration for Tuning Vision-Language Models
by: Li, Haoyang, et al.
Published: (2025)

TextRefiner: Internal Visual Feature as Efficient Refiner for Vision-Language Models Prompt Tuning
by: Xie, Jingjing, et al.
Published: (2024)

Raw Data Matters: Enhancing Prompt Tuning by Internal Augmentation on Vision-Language Models
by: Li, Haoyang, et al.
Published: (2025)

FVG-PT: Adaptive Foreground View-Guided Prompt Tuning for Vision-Language Models
by: Li, Haoyang, et al.
Published: (2026)

HeGraphAdapter: Tuning Multi-Modal Vision-Language Models with Heterogeneous Graph Adapter
by: Zhao, Yumiao, et al.
Published: (2024)

Unveiling Encoder-Free Vision-Language Models
by: Diao, Haiwen, et al.
Published: (2024)

QuantTune: Optimizing Model Quantization with Adaptive Outlier-Driven Fine Tuning
by: Chen, Jiun-Man, et al.
Published: (2024)

Prompt-Aware Adaptive Elastic Weight Consolidation for Continual Learning in Medical Vision-Language Models
by: Gao, Ziyuan, et al.
Published: (2025)

Mitigating Image Captioning Hallucinations in Vision-Language Models
by: Zhao, Fei, et al.
Published: (2025)

Efficient Vision Language Model Fine-tuning for Text-based Person Anomaly Search
by: He, Jiayi, et al.
Published: (2025)

Vision-Language Models Learn Super Images for Efficient Partially Relevant Video Retrieval
by: Nishimura, Taichi, et al.
Published: (2023)

Logic Unseen: Revealing the Logical Blindspots of Vision-Language Models
by: Zhou, Yuchen, et al.
Published: (2025)

POINTS1.5: Building a Vision-Language Model towards Real World Applications
by: Liu, Yuan, et al.
Published: (2024)

Improving Multi-modal Large Language Model through Boosting Vision Capabilities
by: Sun, Yanpeng, et al.
Published: (2024)

Prompt-aware of Frame Sampling for Efficient Text-Video Retrieval
by: Zhang, Deyu, et al.
Published: (2025)

MCIHN: A Hybrid Network Model Based on Multi-path Cross-modal Interaction for Multimodal Emotion Recognition
by: Zhang, Haoyang, et al.
Published: (2025)

ComAlign: Compositional Alignment in Vision-Language Models
by: Abdollah, Ali, et al.
Published: (2024)

Enhancing Interactive Image Retrieval With Query Rewriting Using Large Language Models and Vision Language Models
by: Zhu, Hongyi, et al.
Published: (2024)

Spatio-Temporal Data Enhanced Vision-Language Model for Traffic Scene Understanding
by: Ma, Jingtian, et al.
Published: (2025)

DuoTeach: Dual Role Self-Teaching for Coarse-to-Fine Decision Coordination in Vision--Language Models
by: Yang, Wei, et al.
Published: (2025)

Test-Time Adaptation with CLIP Reward for Zero-Shot Generalization in Vision-Language Models
by: Zhao, Shuai, et al.
Published: (2023)

Hierarchical Refinement of Universal Multimodal Attacks on Vision-Language Models
by: Zhang, Peng-Fei, et al.
Published: (2026)

UniPT: Universal Parallel Tuning for Transfer Learning with Efficient Parameter and Memory
by: Diao, Haiwen, et al.
Published: (2023)

Exploring the Distinctiveness and Fidelity of the Descriptions Generated by Large Vision-Language Models
by: Huang, Yuhang, et al.
Published: (2024)

Cross-modal Proxy Evolving for OOD Detection with Vision-Language Models
by: Tang, Hao, et al.
Published: (2026)

Language Models as Black-Box Optimizers for Vision-Language Models
by: Liu, Shihong, et al.
Published: (2023)

Retrieving Any Relevant Moments: Benchmark and Models for Generalized Moment Retrieval
by: Ding, Yiming, et al.
Published: (2026)

When Video Coding Meets Multimodal Large Language Models: A Unified Paradigm for Video Coding
by: Zhang, Pingping, et al.
Published: (2024)

HiDream-I1: A High-Efficient Image Generative Foundation Model with Sparse Diffusion Transformer
by: Cai, Qi, et al.
Published: (2025)

Instruction-Grounded Visual Projectors for Continual Learning of Generative Vision-Language Models
by: Jin, Hyundong, et al.
Published: (2025)

Prompt-OT: An Optimal Transport Regularization Paradigm for Knowledge Preservation in Vision-Language Model Adaptation
by: Chen, Xiwen, et al.
Published: (2025)

Distilling Vision-Language Foundation Models: A Data-Free Approach via Prompt Diversification
by: Xuan, Yunyi, et al.
Published: (2024)

Towards Training-free Multimodal Hate Localisation with Large Language Models
by: Sun, Yueming, et al.
Published: (2026)

Proxy-Tuning: Tailoring Multimodal Autoregressive Models for Subject-Driven Image Generation
by: Wu, Yi, et al.
Published: (2025)

CalliReader: Contextualizing Chinese Calligraphy via an Embedding-Aligned Vision-Language Model
by: Luo, Yuxuan, et al.
Published: (2025)

CLIP-PCQA: Exploring Subjective-Aligned Vision-Language Modeling for Point Cloud Quality Assessment
by: Liu, Yating, et al.
Published: (2025)

Segmentation-Based Attention Entropy: Detecting and Mitigating Object Hallucinations in Large Vision-Language Models
by: Song, Jiale, et al.
Published: (2026)

Scene Graph Generation with Role-Playing Large Language Models
by: Chen, Guikun, et al.
Published: (2024)

PanoGen++: Domain-Adapted Text-Guided Panoramic Environment Generation for Vision-and-Language Navigation
by: Wang, Sen, et al.
Published: (2025)

PanMatch: Unleashing the Potential of Large Vision Models for Unified Matching Models
by: Zhang, Yongjian, et al.
Published: (2025)