:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Li, Zeshang, Zhang, Shuoyang
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	https://arxiv.org/abs/2605.01733
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Low-hallucination Synthetic Captions for Large-Scale Vision-Language Model Pre-training
by: Zhang, Xinsong, et al.
Published: (2025)

From Captions to Rewards (CAREVL): Leveraging Large Language Model Experts for Enhanced Reward Modeling in Large Vision-Language Models
by: Dai, Muzhi, et al.
Published: (2025)

To Trust Or Not To Trust Your Vision-Language Model's Prediction
by: Dong, Hao, et al.
Published: (2025)

Vision Language Model-based Caption Evaluation Method Leveraging Visual Context Extraction
by: Maeda, Koki, et al.
Published: (2024)

A-VL: Adaptive Attention for Large Vision-Language Models
by: Zhang, Junyang, et al.
Published: (2024)

VEQ: Modality-Adaptive Quantization for MoE Vision-Language Models
by: Qin, Guangshuo, et al.
Published: (2026)

Gate-and-Merge: Zero-shot Compositional Personalization of Vision Language Models
by: Ding, Guodong, et al.
Published: (2026)

Modeling Caption Diversity in Contrastive Vision-Language Pretraining
by: Lavoie, Samuel, et al.
Published: (2024)

MAMS: Model-Agnostic Module Selection Framework for Video Captioning
by: Lee, Sangho, et al.
Published: (2025)

Hyperbolic and Evidence-Prioritized Experts for Large Vision-Language Models
by: Zhou, Zijie, et al.
Published: (2026)

SCRA-VQA: Summarized Caption-Rerank for Augmented Large Language Models in Visual Question Answering
by: Zhang, Yan, et al.
Published: (2025)

CaptionFool: Universal Image Captioning Model Attacks
by: Parekh, Swapnil
Published: (2026)

Phantasia: Context-Adaptive Backdoors in Vision Language Models
by: Tran, Nam Duong, et al.
Published: (2026)

SAUCE: Selective Concept Unlearning in Vision-Language Models with Sparse Autoencoders
by: Li, Qing, et al.
Published: (2025)

RS-MoE: A Vision-Language Model with Mixture of Experts for Remote Sensing Image Captioning and Visual Question Answering
by: Lin, Hui, et al.
Published: (2024)

Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models
by: Jung, Mingi, et al.
Published: (2025)

Knowledge Completes the Vision: A Multimodal Entity-aware Retrieval-Augmented Generation Framework for News Image Captioning
by: You, Xiaoxing, et al.
Published: (2025)

VLM4VLA: Revisiting Vision-Language-Models in Vision-Language-Action Models
by: Zhang, Jianke, et al.
Published: (2026)

Locatability-Guided Adaptive Reasoning for Image Geo-Localization with Vision-Language Models
by: Yu, Bo, et al.
Published: (2026)

Self-Captioning Multimodal Interaction Tuning: Amplifying Exploitable Redundancies for Robust Vision Language Models
by: Ryan, Yuriel, et al.
Published: (2026)

Adaptive Layer Selection for Efficient Vision Transformer Fine-Tuning
by: Devoto, Alessio, et al.
Published: (2024)

Steering Away from Harm: An Adaptive Approach to Defending Vision Language Model Against Jailbreaks
by: Wang, Han, et al.
Published: (2024)

Quant Experts: Token-aware Adaptive Error Reconstruction with Mixture of Experts for Large Vision-Language Models Quantization
by: Jia, Chenwei, et al.
Published: (2026)

Dropout Prompt Learning: Towards Robust and Adaptive Vision-Language Models
by: Chen, Biao, et al.
Published: (2025)

Evolving Prompt Adaptation for Vision-Language Models
by: Zhang, Enming, et al.
Published: (2026)

Think or Not? Selective Reasoning via Reinforcement Learning for Vision-Language Models
by: Wang, Jiaqi, et al.
Published: (2025)

A Visual Semantic Adaptive Watermark grounded by Prefix-Tuning for Large Vision-Language Model
by: Zheng, Qi, et al.
Published: (2026)

Adaptive Residual-Update Steering for Low-Overhead Hallucination Mitigation in Large Vision Language Models
by: Zou, Zhengtao, et al.
Published: (2025)

Synth$^2$: Boosting Visual-Language Models with Synthetic Captions and Image Embeddings
by: Sharifzadeh, Sahand, et al.
Published: (2024)

AdaptViG: Adaptive Vision GNN with Exponential Decay Gating
by: Munir, Mustafa, et al.
Published: (2025)

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

Trust in Vision-Language Models: Insights from a Participatory User Workshop
by: Chiatti, Agnese, et al.
Published: (2025)

KV-Efficient VLA: A Method to Speed up Vision Language Models with RNN-Gated Chunked KV Cache
by: Xu, Wanshun, et al.
Published: (2025)

Efficient Vision-and-Language Pre-training with Text-Relevant Image Patch Selection
by: Ye, Wei, et al.
Published: (2024)

Energy-Driven Adaptive Visual Token Pruning for Efficient Vision-Language Models
by: He, Jialuo, et al.
Published: (2026)

Self-Aug: Query and Entropy Adaptive Decoding for Large Vision-Language Models
by: Im, Eun Woo, et al.
Published: (2025)

Is There Knowledge Left to Extract? Evidence of Fragility in Medically Fine-Tuned Vision-Language Models
by: McLaughlin, Oliver, et al.
Published: (2026)

TRIPS: Efficient Vision-and-Language Pre-training with Text-Relevant Image Patch Selection
by: Jiang, Chaoya, et al.
Published: (2023)

Any2Caption:Interpreting Any Condition to Caption for Controllable Video Generation
by: Wu, Shengqiong, et al.
Published: (2025)

Adaptive Camera Sensor for Vision Models
by: Baek, Eunsu, et al.
Published: (2025)