Cover Image

A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jung, Hoin, Jang, Taeuk, Wang, Xiaoqian
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Interpretable Debiasing of Vision-Language Models for Social Fairness
by: An, Na Min, et al.
Published: (2026)

The Cost of Context: Mitigating Textual Bias in Multimodal Retrieval-Augmented Generation
by: Jung, Hoin, et al.
Published: (2026)

When Language Overwrites Vision: Over-Alignment and Geometric Debiasing in Vision-Language Models
by: Saini, Harshvardhan, et al.
Published: (2026)

All in One: Exploring Unified Vision-Language Tracking with Multi-Modal Alignment
by: Zhang, Chunhui, et al.
Published: (2023)

OmniMRI: A Unified Vision--Language Foundation Model for Generalist MRI Interpretation
by: He, Xingxin, et al.
Published: (2025)

Bridging the Missing-Modality Gap: Improving Text-Only Calibration of Vision Language Models
by: Kim, Mingyeong, et al.
Published: (2026)

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

Boosting Omni-Modal Language Models: Staged Post-Training with Visually Debiased Evaluation
by: Liu, Che, et al.
Published: (2026)

A Deep Learning Approach for Augmenting Perceptional Understanding of Histopathology Images
by: Hu, Xiaoqian
Published: (2025)

Doubly Debiased Test-Time Prompt Tuning for Vision-Language Models
by: Song, Fei, et al.
Published: (2025)

Beyond Cross-Modal Alignment: Measuring and Leveraging Modality Gap in Vision-Language Models
by: Yan, Hanqi, et al.
Published: (2025)

HoliSafe: Holistic Safety Benchmarking and Modeling for Vision-Language Model
by: Lee, Youngwan, et al.
Published: (2025)

MBQ: Modality-Balanced Quantization for Large Vision-Language Models
by: Li, Shiyao, et al.
Published: (2024)

Freeze and Reveal: Exposing Modality Bias in Vision-Language Models
by: Kavuri, Vivek Hruday, et al.
Published: (2025)

SEM: Sparse Embedding Modulation for Post-Hoc Debiasing of Vision-Language Models
by: Guimard, Quentin, et al.
Published: (2026)

MedUnifier: Unifying Vision-and-Language Pre-training on Medical Data with Vision Generation Task using Discrete Visual Representations
by: Zhang, Ziyang, et al.
Published: (2025)

Towards Cross-modal Backward-compatible Representation Learning for Vision-Language Models
by: Jang, Young Kyun, et al.
Published: (2024)

Don't Miss the Forest for the Trees: Attentional Vision Calibration for Large Vision Language Models
by: Woo, Sangmin, et al.
Published: (2024)

KRAST: Knowledge-Augmented Robotic Action Recognition with Structured Text for Vision-Language Models
by: Nguyen, Son Hai, et al.
Published: (2025)

GLIMPSE: Holistic Cross-Modal Explainability for Large Vision-Language Models
by: Shen, Guanxi
Published: (2025)

SEAM: Semantically Equivalent Across Modalities Benchmark for Vision-Language Models
by: Tang, Zhenwei, et al.
Published: (2025)

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

Debiasing Classifiers by Amplifying Bias with Latent Diffusion and Large Language Models
by: Ko, Donggeun, et al.
Published: (2024)

HoloFair: Unified T2I Fairness Evaluation and Fair-GRPO Debiasing
by: Chen, Ruyi, et al.
Published: (2026)

Exposing and Addressing Cross-Task Inconsistency in Unified Vision-Language Models
by: Maharana, Adyasha, et al.
Published: (2023)

BiPrompt: Bilateral Prompt Optimization for Visual and Textual Debiasing in Vision-Language Models
by: Gupta, Sunny, et al.
Published: (2026)

GeoRSMLLM: A Multimodal Large Language Model for Vision-Language Tasks in Geoscience and Remote Sensing
by: Zhang, Zilun, et al.
Published: (2025)

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

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

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

GazeVLM: A Vision-Language Model for Multi-Task Gaze Understanding
by: Mathew, Athul M., et al.
Published: (2025)

AdaTP: Attention-Debiased Token Pruning for Video Large Language Models
by: Sun, Fengyuan, et al.
Published: (2025)

Cross-Modal Attention Analysis and Optimization in Vision-Language Models: A Study on Visual Reliability
by: Zhou, Lijie
Published: (2026)

CapRecover: A Cross-Modality Feature Inversion Attack Framework on Vision Language Models
by: Xiu, Kedong, et al.
Published: (2025)

UniFashion: A Unified Vision-Language Model for Multimodal Fashion Retrieval and Generation
by: Zhao, Xiangyu, et al.
Published: (2024)

Shared Neural Space: Unified Precomputed Feature Encoding for Multi-Task and Cross Domain Vision
by: Li, Jing, et al.
Published: (2025)

Efficient3D: A Unified Framework for Adaptive and Debiased Token Reduction in 3D MLLMs
by: Lin, Yuhui, et al.
Published: (2026)

Environmental Understanding Vision-Language Model for Embodied Agent
by: Bang, Jinsik, et al.
Published: (2026)

Demystifying KAN for Vision Tasks: The RepKAN Approach
by: Cheon, Minjong
Published: (2026)

FRIEDA: Benchmarking Multi-Step Cartographic Reasoning in Vision-Language Models
by: Pyo, Jiyoon, et al.
Published: (2025)