Cover Image

Prophet: Prompting Large Language Models with Complementary Answer Heuristics for Knowledge-based Visual Question Answering

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yu, Zhou, Ouyang, Xuecheng, Shao, Zhenwei, Wang, Meng, Yu, Jun
Format:	Preprint
Published:	2023
Subjects:	Computer Vision and Pattern Recognition Computation and Language Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Imp: Highly Capable Large Multimodal Models for Mobile Devices
by: Shao, Zhenwei, et al.
Published: (2024)

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

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

Empowering Large Language Model for Continual Video Question Answering with Collaborative Prompting
by: Cai, Chen, et al.
Published: (2024)

Modality-Aware Integration with Large Language Models for Knowledge-based Visual Question Answering
by: Dong, Junnan, et al.
Published: (2024)

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

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

Prompting Medical Large Vision-Language Models to Diagnose Pathologies by Visual Question Answering
by: Guo, Danfeng, et al.
Published: (2024)

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

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

Growing a Multi-head Twig via Distillation and Reinforcement Learning to Accelerate Large Vision-Language Models
by: Shao, Zhenwei, et al.
Published: (2025)

Prompting Video-Language Foundation Models with Domain-specific Fine-grained Heuristics for Video Question Answering
by: Yu, Ting, et al.
Published: (2024)

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

Q&A Prompts: Discovering Rich Visual Clues through Mining Question-Answer Prompts for VQA requiring Diverse World Knowledge
by: Wang, Haibo, et al.
Published: (2024)

Generalizing Visual Question Answering from Synthetic to Human-Written Questions via a Chain of QA with a Large Language Model
by: Kim, Taehee, 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)

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

VisualSimpleQA: A Benchmark for Decoupled Evaluation of Large Vision-Language Models in Fact-Seeking Question Answering
by: Wang, Yanling, et al.
Published: (2025)

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

Where do Large Vision-Language Models Look at when Answering Questions?
by: Xing, Xiaoying, et al.
Published: (2025)

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

CAT: Enhancing Multimodal Large Language Model to Answer Questions in Dynamic Audio-Visual Scenarios
by: Ye, Qilang, 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)

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

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

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

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

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

VideoARM: Agentic Reasoning over Hierarchical Memory for Long-Form Video Understanding
by: Yin, Yufei, et al.
Published: (2025)

Teaching Vision-Language Models to Ask: Resolving Ambiguity in Visual Questions
by: Jian, Pu, et al.
Published: (2025)

Ask Questions with Double Hints: Visual Question Generation with Answer-awareness and Region-reference
by: Shen, Kai, et al.
Published: (2024)

Guiding Vision-Language Model Selection for Visual Question-Answering Across Tasks, Domains, and Knowledge Types
by: Sinha, Neelabh, et al.
Published: (2024)

Meta-Adaptive Prompt Distillation for Few-Shot Visual Question Answering
by: Gupta, Akash, et al.
Published: (2025)

Long-Form Answers to Visual Questions from Blind and Low Vision People
by: Huh, Mina, et al.
Published: (2024)

GC-KBVQA: A New Four-Stage Framework for Enhancing Knowledge Based Visual Question Answering Performance
by: Moradi, Mohammad Mahdi, et al.
Published: (2025)

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

Find The Gap: Knowledge Base Reasoning For Visual Question Answering
by: Barezi, Elham J., 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)