Cover Image

GC-KBVQA: A New Four-Stage Framework for Enhancing Knowledge Based Visual Question Answering Performance

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Moradi, Mohammad Mahdi, Mudur, Sudhir
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

DiSCTT: Consensus-Guided Self-Curriculum for Efficient Test-Time Adaptation in Reasoning
by: Moradi, Mohammad Mahdi, et al.
Published: (2026)

Overcoming Language Priors for Visual Question Answering Based on Knowledge Distillation
by: Peng, Daowan, et al.
Published: (2025)

A Two-Stage Multitask Vision-Language Framework for Explainable Crop Disease Visual Question Answering
by: Hossain, Md. Zahid, et al.
Published: (2026)

GeReA: Question-Aware Prompt Captions for Knowledge-based Visual Question Answering
by: Ma, Ziyu, et al.
Published: (2024)

Selectively Answering Visual Questions
by: Eisenschlos, Julian Martin, et al.
Published: (2024)

Knowledge Acquisition Disentanglement for Knowledge-based Visual Question Answering with Large Language Models
by: An, Wenbin, et al.
Published: (2024)

Find The Gap: Knowledge Base Reasoning For Visual Question Answering
by: Barezi, Elham J., et al.
Published: (2024)

MOTOR: Multimodal Optimal Transport via Grounded Retrieval in Medical Visual Question Answering
by: Shaaban, Mai A., et al.
Published: (2025)

A Gaze-grounded Visual Question Answering Dataset for Clarifying Ambiguous Japanese Questions
by: Inadumi, Shun, et al.
Published: (2024)

WikiSeeker: Rethinking the Role of Vision-Language Models in Knowledge-Based Visual Question Answering
by: Zhu, Yingjian, et al.
Published: (2026)

Enhancing Visual Question Answering through Ranking-Based Hybrid Training and Multimodal Fusion
by: Chen, Peiyuan, et al.
Published: (2024)

CommVQA: Situating Visual Question Answering in Communicative Contexts
by: Naik, Nandita Shankar, et al.
Published: (2024)

Multimodal Integration of Human-Like Attention in Visual Question Answering
by: Sood, Ekta, et al.
Published: (2021)

Advancing Vietnamese Visual Question Answering with Transformer and Convolutional Integration
by: Nguyen, Ngoc Son, et al.
Published: (2024)

Answering Questions in Stages: Prompt Chaining for Contract QA
by: Roegiest, Adam, et al.
Published: (2024)

Natural Language Understanding and Inference with MLLM in Visual Question Answering: A Survey
by: Kuang, Jiayi, et al.
Published: (2024)

ChitroJera: A Regionally Relevant Visual Question Answering Dataset for Bangla
by: Barua, Deeparghya Dutta, et al.
Published: (2024)

Computed Tomography Visual Question Answering with Cross-modal Feature Graphing
by: Tian, Yuanhe, et al.
Published: (2025)

Large Vision-Language Models for Remote Sensing Visual Question Answering
by: Siripong, Surasakdi, et al.
Published: (2024)

Design as Desired: Utilizing Visual Question Answering for Multimodal Pre-training
by: Su, Tongkun, et al.
Published: (2024)

Investigating Prompting Techniques for Zero- and Few-Shot Visual Question Answering
by: Awal, Rabiul, et al.
Published: (2023)

AIM: Asymmetric Information Masking for Visual Question Answering Continual Learning
by: Zhang, Peifeng, et al.
Published: (2026)

Joint Extraction Matters: Prompt-Based Visual Question Answering for Multi-Field Document Information Extraction
by: Loem, Mengsay, et al.
Published: (2025)

Towards Perceiving Small Visual Details in Zero-shot Visual Question Answering with Multimodal LLMs
by: Zhang, Jiarui, et al.
Published: (2023)

Grounding Chest X-Ray Visual Question Answering with Generated Radiology Reports
by: Serra, Francesco Dalla, et al.
Published: (2025)

How Good LLMs Are at Answering Bangla Medical Visual Questions? Dataset and Benchmarking
by: Ahmed, Rafid, et al.
Published: (2026)

LaPA: Latent Prompt Assist Model For Medical Visual Question Answering
by: Gu, Tiancheng, et al.
Published: (2024)

Fusion of Domain-Adapted Vision and Language Models for Medical Visual Question Answering
by: Ha, Cuong Nhat, et al.
Published: (2024)

Hallucination Benchmark in Medical Visual Question Answering
by: Wu, Jinge, et al.
Published: (2024)

ReAG: Reasoning-Augmented Generation for Knowledge-based Visual Question Answering
by: Compagnoni, Alberto, et al.
Published: (2025)

QA-Dragon: Query-Aware Dynamic RAG System for Knowledge-Intensive Visual Question Answering
by: Jiang, Zhuohang, et al.
Published: (2025)

PDF-MVQA: A Dataset for Multimodal Information Retrieval in PDF-based Visual Question Answering
by: Ding, Yihao, et al.
Published: (2024)

VQA-MHUG: A Gaze Dataset to Study Multimodal Neural Attention in Visual Question Answering
by: Sood, Ekta, et al.
Published: (2021)

Integrating Image Features with Convolutional Sequence-to-sequence Network for Multilingual Visual Question Answering
by: Thai, Triet Minh, et al.
Published: (2023)

Relevance-aware Multi-context Contrastive Decoding for Retrieval-augmented Visual Question Answering
by: Kim, Jongha, et al.
Published: (2026)

Augmenting Multimodal LLMs with Self-Reflective Tokens for Knowledge-based Visual Question Answering
by: Cocchi, Federico, et al.
Published: (2024)

Prophet: Prompting Large Language Models with Complementary Answer Heuristics for Knowledge-based Visual Question Answering
by: Yu, Zhou, et al.
Published: (2023)

Barriers in Integrating Medical Visual Question Answering into Radiology Workflows: A Scoping Review and Clinicians' Insights
by: Mishra, Deepali, et al.
Published: (2025)

II-MMR: Identifying and Improving Multi-modal Multi-hop Reasoning in Visual Question Answering
by: Kil, Jihyung, et al.
Published: (2024)

Pretraining Vision-Language Model for Difference Visual Question Answering in Longitudinal Chest X-rays
by: Cho, Yeongjae, et al.
Published: (2024)