:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhu, Hongyan, Qin, Shuai, Su, Min, Lin, Chengzhi, Li, Anjie, Gao, Junfeng
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	https://arxiv.org/abs/2407.19679
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

OODBench: Out-of-Distribution Benchmark for Large Vision-Language Models
by: Lin, Ling, et al.
Published: (2026)

SDGBiasBench: Benchmarking and Mitigating Vision--Language Models' Biases in Sustainable Development Goals
by: Lin, Zihang, et al.
Published: (2026)

Reasoning under Vision: Understanding Visual-Spatial Cognition in Vision-Language Models for CAPTCHA
by: Song, Python, et al.
Published: (2025)

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

Review of Hallucination Understanding in Large Language and Vision Models
by: Ho, Zhengyi, et al.
Published: (2025)

CoMT: A Novel Benchmark for Chain of Multi-modal Thought on Large Vision-Language Models
by: Cheng, Zihui, et al.
Published: (2024)

Vision Language Model-Empowered Contract Theory for AIGC Task Allocation in Teleoperation
by: Zhan, Zijun, et al.
Published: (2024)

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)

V-DPO: Mitigating Hallucination in Large Vision Language Models via Vision-Guided Direct Preference Optimization
by: Xie, Yuxi, et al.
Published: (2024)

AgroGPT: Efficient Agricultural Vision-Language Model with Expert Tuning
by: Awais, Muhammad, et al.
Published: (2024)

Are Large Vision-Language Models Ready to Guide Blind and Low-Vision Individuals?
by: Kim, Eunki, et al.
Published: (2025)

PLPHP: Per-Layer Per-Head Vision Token Pruning for Efficient Large Vision-Language Models
by: Meng, Yu, et al.
Published: (2025)

RAD: Retrieval-Augmented Decision-Making of Meta-Actions with Vision-Language Models in Autonomous Driving
by: Wang, Yujin, et al.
Published: (2025)

AgriVLN: Vision-and-Language Navigation for Agricultural Robots
by: Zhao, Xiaobei, et al.
Published: (2025)

ArchiLense: A Framework for Quantitative Analysis of Architectural Styles Based on Vision Large Language Models
by: Zhong, Jing, et al.
Published: (2025)

UrbanSense:A Framework for Quantitative Analysis of Urban Streetscapes leveraging Vision Large Language Models
by: Yin, Jun, et al.
Published: (2025)

ImgTrojan: Jailbreaking Vision-Language Models with ONE Image
by: Tao, Xijia, et al.
Published: (2024)

Cross-Cultural Value Awareness in Large Vision-Language Models
by: Howard, Phillip, et al.
Published: (2026)

Black-Box Visual Prompt Engineering for Mitigating Object Hallucination in Large Vision Language Models
by: Woo, Sangmin, et al.
Published: (2025)

Enhancing targeted transferability via feature space fine-tuning
by: Zeng, Hui, et al.
Published: (2024)

MVP-Bench: Can Large Vision--Language Models Conduct Multi-level Visual Perception Like Humans?
by: Li, Guanzhen, et al.
Published: (2024)

Breaking Modality Heterogeneity in Low-Bit Quantization for Large Vision-Language Models
by: Zhong, Yi, et al.
Published: (2026)

QAPruner: Quantization-Aware Vision Token Pruning for Multimodal Large Language Models
by: Wang, Xinhao, et al.
Published: (2026)

ViGoR: Improving Visual Grounding of Large Vision Language Models with Fine-Grained Reward Modeling
by: Yan, Siming, et al.
Published: (2024)

Probing Perceptual Constancy in Large Vision-Language Models
by: Sun, Haoran, et al.
Published: (2025)

Vision-Language Model for Object Detection and Segmentation: A Review and Evaluation
by: Feng, Yongchao, et al.
Published: (2025)

Large Vision-Language Models Get Lost in Attention
by: Xi, Gongli, et al.
Published: (2026)

Dynamic Multimodal Activation Steering for Hallucination Mitigation in Large Vision-Language Models
by: Yin, Jianghao, et al.
Published: (2026)

How Blind and Low-Vision Individuals Prefer Large Vision-Language Model-Generated Scene Descriptions
by: An, Na Min, et al.
Published: (2025)

Hyperbolic and Evidence-Prioritized Experts for Large Vision-Language Models
by: Zhou, Zijie, 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)

KEPT: Knowledge-Enhanced Prediction of Trajectories from Consecutive Driving Frames with Vision-Language Models
by: Wang, Yujin, et al.
Published: (2025)

PathGLS: Evaluating Pathology Vision-Language Models without Ground Truth through Multi-Dimensional Consistency
by: Chen, Minbing, et al.
Published: (2026)

Harnessing Vision-Language Models for Time Series Anomaly Detection
by: He, Zelin, et al.
Published: (2025)

Vision Inference Former: Sustaining Visual Consistency in Multimodal Large Language Models
by: Dong, Xinpeng, et al.
Published: (2026)

Efficient and Comprehensive Feature Extraction in Large Vision-Language Model for Pathology Analysis
by: Zhang, Shengxuming, et al.
Published: (2024)

Correctable Landmark Discovery via Large Models for Vision-Language Navigation
by: Lin, Bingqian, et al.
Published: (2024)

Object Detection with Multimodal Large Vision-Language Models: An In-depth Review
by: Sapkota, Ranjan, et al.
Published: (2025)

The Perceptual Bandwidth Bottleneck in Vision-Language Models: Active Visual Reasoning via Sequential Experimental Design
by: Liu, Anjie, et al.
Published: (2026)

Investigating and Mitigating the Multimodal Hallucination Snowballing in Large Vision-Language Models
by: Zhong, Weihong, et al.
Published: (2024)