Latest Articles for Visual Question Answering

HaloQuest addresses hallucination issues in vision-language models with a new dataset.

This study evaluates object-centric representations against foundation models for VQA tasks.

RagLLaVA enhances multimodal models, improving accuracy in complex data tasks.

Two methods enhance how models analyze medical images for better diagnosis.

Enhancing robots' decision-making skills for space exploration.

CluMo helps models learn continuously in Visual Question Answering without forgetting past knowledge.

MaVEn enhances AI's ability to process multiple images for better reasoning.

This article examines the progress of vision-language models and their reasoning capabilities.

RACC optimizes knowledge retrieval for more efficient visual question answering.

Learn about the challenges and models in visual question-answering tasks.

NVLM enhances AI's grasp of language and visuals for diverse tasks.

OneEncoder efficiently connects images, text, audio, and video for better information processing.

New features enhance user experience in screen understanding and multilingual interactions.

Research improves data generation in machine learning using synthetic methods for clearer explanations.

This study uses Visual Question Answering for assessing charts created by AI models.

TrojVLM exposes vulnerabilities in Vision Language Models to backdoor attacks.

Learn how MLLMs enhance our ability to understand satellite imagery.

A new method for robots to navigate effectively without extensive training.

LLaVA improves Visual Question Answering by blending local device power with cloud processing.

A new model enhances VQA by providing detailed explanations for educational content.

Llava blends text and images to improve question answering.

A new framework enhances machine understanding in driving environments.

A novel method enhances performance in Visual Question Answering by structuring learning.

New methods tackle image tampering in remote sensing effectively.

Perception Tokens enhance AI's ability to understand and interpret images.

Learn how AI answers visual questions and provides explanations.

A look into how Doubly-UAP tricks AI models with images and text.

DeepSeek-VL2 merges visual and text data for smarter AI interactions.

FedPIA enhances machine learning while safeguarding sensitive data privacy.

Advancements in AI enhance visual question answering capabilities.