Copertina

Evolving Prompt Adaptation for Vision-Language Models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhang, Enming, Li, Jiayang, Wu, Yanru, Liu, Zhenyu, Li, Yang
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Computer Vision and Pattern Recognition Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

TMT: Cross-domain Semantic Segmentation with Region-adaptive Transferability Estimation
di: Zhang, Enming, et al.
Pubblicazione: (2025)

FDBPL: Faster Distillation-Based Prompt Learning for Region-Aware Vision-Language Models Adaptation
di: Zhang, Zherui, et al.
Pubblicazione: (2025)

Evaluation of Safety Cognition Capability in Vision-Language Models for Autonomous Driving
di: Zhang, Enming, et al.
Pubblicazione: (2025)

Tuning Vision-Language Models with Candidate Labels by Prompt Alignment
di: Zhang, Zhifang, et al.
Pubblicazione: (2024)

Chain-of-Adaptation: Surgical Vision-Language Adaptation with Reinforcement Learning
di: Li, Jiajie, et al.
Pubblicazione: (2026)

First Multi-Dimensional Evaluation of Flowchart Comprehension for Multimodal Large Language Models
di: Zhang, Enming, et al.
Pubblicazione: (2024)

Selective Visual Prompting in Vision Mamba
di: Yao, Yifeng, et al.
Pubblicazione: (2024)

Self-Evolving Spatial Reasoning in Vision Language Models via Geometric Logic Consistency
di: Liu, Junming, et al.
Pubblicazione: (2026)

Towards Accurate UAV Image Perception: Guiding Vision-Language Models with Stronger Task Prompts
di: Guo, Mingning, et al.
Pubblicazione: (2025)

ZSPAPrune: Zero-Shot Prompt-Aware Token Pruning for Vision-Language Models
di: Zhang, Pu, et al.
Pubblicazione: (2025)

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

Physical Prompt Injection Attacks on Large Vision-Language Models
di: Ling, Chen, et al.
Pubblicazione: (2026)

Adversarial Prompt Tuning for Vision-Language Models
di: Zhang, Jiaming, et al.
Pubblicazione: (2023)

Training-Free Unsupervised Prompt for Vision-Language Models
di: Long, Sifan, et al.
Pubblicazione: (2024)

Prompt Tuning with Soft Context Sharing for Vision-Language Models
di: Ding, Kun, et al.
Pubblicazione: (2022)

TTP: Test-Time Padding for Adversarial Detection and Robust Adaptation on Vision-Language Models
di: Li, Zhiwei, et al.
Pubblicazione: (2025)

Biomed-DPT: Dual Modality Prompt Tuning for Biomedical Vision-Language Models
di: Peng, Wei, et al.
Pubblicazione: (2025)

Enhancing Adversarial Robustness of Vision-Language Models through Low-Rank Adaptation
di: Ji, Yuheng, et al.
Pubblicazione: (2024)

Vision-R1: Evolving Human-Free Alignment in Large Vision-Language Models via Vision-Guided Reinforcement Learning
di: Zhan, Yufei, et al.
Pubblicazione: (2025)

Adversarial Prompt Distillation for Vision-Language Models
di: Luo, Lin, et al.
Pubblicazione: (2024)

All-day Multi-scenes Lifelong Vision-and-Language Navigation with Tucker Adaptation
di: Wang, Xudong, et al.
Pubblicazione: (2026)

Unlocking Vision-Language Models for Video Anomaly Detection via Fine-Grained Prompting
di: Zou, Shu, et al.
Pubblicazione: (2025)

SE-VLN: A Self-Evolving Vision-Language Navigation Framework Based on Multimodal Large Language Models
di: Dong, Xiangyu, et al.
Pubblicazione: (2025)

Lightweight Multimodal Adaptation of Vision Language Models for Species Recognition and Habitat Context Interpretation in Drone Thermal Imagery
di: Chen, Hao, et al.
Pubblicazione: (2026)

VisPlay: Self-Evolving Vision-Language Models from Images
di: He, Yicheng, et al.
Pubblicazione: (2025)

General Scene Adaptation for Vision-and-Language Navigation
di: Hong, Haodong, et al.
Pubblicazione: (2025)

Domain-Invariant Prompt Learning for Vision-Language Models
di: Khoee, Arsham Gholamzadeh, et al.
Pubblicazione: (2026)

Target Prompting for Information Extraction with Vision Language Model
di: Medhi, Dipankar
Pubblicazione: (2024)

Prompting Large Vision-Language Models for Compositional Reasoning
di: Ossowski, Timothy, et al.
Pubblicazione: (2024)

Attention Prompting on Image for Large Vision-Language Models
di: Yu, Runpeng, et al.
Pubblicazione: (2024)

Enhancing Vision-Language Models for Autonomous Driving through Task-Specific Prompting and Spatial Reasoning
di: Wu, Aodi, et al.
Pubblicazione: (2025)

AmPLe: Supporting Vision-Language Models via Adaptive-Debiased Ensemble Multi-Prompt Learning
di: Song, Fei, et al.
Pubblicazione: (2025)

PromptEcho: Annotation-Free Reward from Vision-Language Models for Text-to-Image Reinforcement Learning
di: Liu, Jinlong, et al.
Pubblicazione: (2026)

Pedestrian Attribute Recognition via CLIP based Prompt Vision-Language Fusion
di: Wang, Xiao, et al.
Pubblicazione: (2023)

Understanding Retrieval-Augmented Task Adaptation for Vision-Language Models
di: Ming, Yifei, et al.
Pubblicazione: (2024)

Are Unified Vision-Language Models Necessary: Generalization Across Understanding and Generation
di: Zhang, Jihai, et al.
Pubblicazione: (2025)

Tree of Attributes Prompt Learning for Vision-Language Models
di: Ding, Tong, et al.
Pubblicazione: (2024)

DRScaffold: Boosting Dense-Scene Reasoning in Lightweight Vision Language Models
di: Shi, Xinrui, et al.
Pubblicazione: (2026)

Subspace Alignment for Vision-Language Model Test-time Adaptation
di: Zeng, Zhichen, et al.
Pubblicazione: (2026)

Frustratingly Easy Test-Time Adaptation of Vision-Language Models
di: Farina, Matteo, et al.
Pubblicazione: (2024)