Saved in:
| Main Authors: | Weng, Charles, Li, Dingwen, Martin, Alexander |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.00326 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Towards Zero-Shot Annotation of the Built Environment with Vision-Language Models (Vision Paper)
by: Han, Bin, et al.
Published: (2024)
by: Han, Bin, et al.
Published: (2024)
Spectral Prompt Tuning:Unveiling Unseen Classes for Zero-Shot Semantic Segmentation
by: Xu, Wenhao, et al.
Published: (2023)
by: Xu, Wenhao, et al.
Published: (2023)
Investigating Prompting Techniques for Zero- and Few-Shot Visual Question Answering
by: Awal, Rabiul, et al.
Published: (2023)
by: Awal, Rabiul, et al.
Published: (2023)
Think-Reflect-Revise: A Policy-Guided Reflective Framework for Safety Alignment in Large Vision Language Models
by: Weng, Fenghua, et al.
Published: (2025)
by: Weng, Fenghua, et al.
Published: (2025)
Open-Source Image Editing Models Are Zero-Shot Vision Learners
by: Liu, Wei, et al.
Published: (2026)
by: Liu, Wei, et al.
Published: (2026)
SPARC: Score Prompting and Adaptive Fusion for Zero-Shot Multi-Label Recognition in Vision-Language Models
by: Miller, Kevin, et al.
Published: (2025)
by: Miller, Kevin, et al.
Published: (2025)
ZALM3: Zero-Shot Enhancement of Vision-Language Alignment via In-Context Information in Multi-Turn Multimodal Medical Dialogue
by: Li, Zhangpu, et al.
Published: (2024)
by: Li, Zhangpu, et al.
Published: (2024)
How Does Diverse Interpretability of Textual Prompts Impact Medical Vision-Language Zero-Shot Tasks?
by: Wang, Sicheng, et al.
Published: (2024)
by: Wang, Sicheng, et al.
Published: (2024)
Pseudo-Prompt Generating in Pre-trained Vision-Language Models for Multi-Label Medical Image Classification
by: Ye, Yaoqin, et al.
Published: (2024)
by: Ye, Yaoqin, et al.
Published: (2024)
Few-Shot Adversarial Prompt Learning on Vision-Language Models
by: Zhou, Yiwei, et al.
Published: (2024)
by: Zhou, Yiwei, et al.
Published: (2024)
Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features
by: Mitra, Chancharik, et al.
Published: (2024)
by: Mitra, Chancharik, et al.
Published: (2024)
How Does Vision-Language Adaptation Impact the Safety of Vision Language Models?
by: Lee, Seongyun, et al.
Published: (2024)
by: Lee, Seongyun, et al.
Published: (2024)
Optimizing GPT for Video Understanding: Zero-Shot Performance and Prompt Engineering
by: Beliaev, Mark, et al.
Published: (2025)
by: Beliaev, Mark, et al.
Published: (2025)
Text Prompt Injection of Vision Language Models
by: Zhu, Ruizhe
Published: (2025)
by: Zhu, Ruizhe
Published: (2025)
Large Multilingual Models Pivot Zero-Shot Multimodal Learning across Languages
by: Hu, Jinyi, et al.
Published: (2023)
by: Hu, Jinyi, et al.
Published: (2023)
CorNav: Autonomous Agent with Self-Corrected Planning for Zero-Shot Vision-and-Language Navigation
by: Liang, Xiwen, et al.
Published: (2023)
by: Liang, Xiwen, et al.
Published: (2023)
Exploring the Limits of Zero Shot Vision Language Models for Hate Meme Detection: The Vulnerabilities and their Interpretations
by: Rizwan, Naquee, et al.
Published: (2024)
by: Rizwan, Naquee, et al.
Published: (2024)
SpatialPrompting: Keyframe-driven Zero-Shot Spatial Reasoning with Off-the-Shelf Multimodal Large Language Models
by: Taguchi, Shun, et al.
Published: (2025)
by: Taguchi, Shun, et al.
Published: (2025)
Zero-Shot Visual Reasoning by Vision-Language Models: Benchmarking and Analysis
by: Nagar, Aishik, et al.
Published: (2024)
by: Nagar, Aishik, et al.
Published: (2024)
Enhancing Vision-Language Few-Shot Adaptation with Negative Learning
by: Zhang, Ce, et al.
Published: (2024)
by: Zhang, Ce, et al.
Published: (2024)
Zero-Shot Scene Understanding with Multimodal Large Language Models for Automated Vehicles
by: Elhenawy, Mohammed, et al.
Published: (2025)
by: Elhenawy, Mohammed, et al.
Published: (2025)
Towards Zero-Shot Anomaly Detection and Reasoning with Multimodal Large Language Models
by: Xu, Jiacong, et al.
Published: (2025)
by: Xu, Jiacong, et al.
Published: (2025)
Guiding Medical Vision-Language Models with Explicit Visual Prompts: Framework Design and Comprehensive Exploration of Prompt Variations
by: Zhu, Kangyu, et al.
Published: (2025)
by: Zhu, Kangyu, et al.
Published: (2025)
Binary Verification for Zero-Shot Vision
by: Hu, Rongbin, et al.
Published: (2025)
by: Hu, Rongbin, et al.
Published: (2025)
TikZero: Zero-Shot Text-Guided Graphics Program Synthesis
by: Belouadi, Jonas, et al.
Published: (2025)
by: Belouadi, Jonas, et al.
Published: (2025)
RadZero: Similarity-Based Cross-Attention for Explainable Vision-Language Alignment in Chest X-ray with Zero-Shot Multi-Task Capability
by: Park, Jonggwon, et al.
Published: (2025)
by: Park, Jonggwon, et al.
Published: (2025)
DreamNav: A Trajectory-Based Imaginative Framework for Zero-Shot Vision-and-Language Navigation
by: Wang, Yunheng, et al.
Published: (2025)
by: Wang, Yunheng, et al.
Published: (2025)
Patch-Prompt Aligned Bayesian Prompt Tuning for Vision-Language Models
by: Liu, Xinyang, et al.
Published: (2023)
by: Liu, Xinyang, et al.
Published: (2023)
Iterative Self-Improvement of Vision Language Models for Image Scoring and Self-Explanation
by: Tanji, Naoto, et al.
Published: (2025)
by: Tanji, Naoto, et al.
Published: (2025)
Zero-Shot Action Recognition in Surveillance Videos
by: Pereira, Joao, et al.
Published: (2024)
by: Pereira, Joao, et al.
Published: (2024)
Unifying Vision-Language Latents for Zero-label Image Caption Enhancement
by: Byun, Sanghyun, et al.
Published: (2025)
by: Byun, Sanghyun, et al.
Published: (2025)
TuneVLSeg: Prompt Tuning Benchmark for Vision-Language Segmentation Models
by: Adhikari, Rabin, et al.
Published: (2024)
by: Adhikari, Rabin, et al.
Published: (2024)
BiomedCoOp: Learning to Prompt for Biomedical Vision-Language Models
by: Koleilat, Taha, et al.
Published: (2024)
by: Koleilat, Taha, et al.
Published: (2024)
Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models
by: Yin, Xiaojie, et al.
Published: (2025)
by: Yin, Xiaojie, et al.
Published: (2025)
Seeing No Evil: Blinding Large Vision-Language Models to Safety Instructions via Adversarial Attention Hijacking
by: Li, Jingru, et al.
Published: (2026)
by: Li, Jingru, et al.
Published: (2026)
ZeroNLG: Aligning and Autoencoding Domains for Zero-Shot Multimodal and Multilingual Natural Language Generation
by: Yang, Bang, et al.
Published: (2023)
by: Yang, Bang, et al.
Published: (2023)
When Prompts Override Vision: Prompt-Induced Hallucinations in LVLMs
by: Khayatan, Pegah, et al.
Published: (2026)
by: Khayatan, Pegah, et al.
Published: (2026)
Hierarchical Safety Realignment: Lightweight Restoration of Safety in Pruned Large Vision-Language Models
by: Li, Yue, et al.
Published: (2025)
by: Li, Yue, et al.
Published: (2025)
Unsupervised Pre-training with Language-Vision Prompts for Low-Data Instance Segmentation
by: Zhang, Dingwen, et al.
Published: (2024)
by: Zhang, Dingwen, et al.
Published: (2024)
Rethinking Bottlenecks in Safety Fine-Tuning of Vision Language Models
by: Ding, Yi, et al.
Published: (2025)
by: Ding, Yi, et al.
Published: (2025)
Similar Items
-
Towards Zero-Shot Annotation of the Built Environment with Vision-Language Models (Vision Paper)
by: Han, Bin, et al.
Published: (2024) -
Spectral Prompt Tuning:Unveiling Unseen Classes for Zero-Shot Semantic Segmentation
by: Xu, Wenhao, et al.
Published: (2023) -
Investigating Prompting Techniques for Zero- and Few-Shot Visual Question Answering
by: Awal, Rabiul, et al.
Published: (2023) -
Think-Reflect-Revise: A Policy-Guided Reflective Framework for Safety Alignment in Large Vision Language Models
by: Weng, Fenghua, et al.
Published: (2025) -
Open-Source Image Editing Models Are Zero-Shot Vision Learners
by: Liu, Wei, et al.
Published: (2026)