Cover Image

Diversify, Rationalize, and Combine: Ensembling Multiple QA Strategies for Zero-shot Knowledge-based VQA

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Miaoyu, Li, Haoxin, Du, Zilin, Li, Boyang
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Knowledge Generation for Zero-shot Knowledge-based VQA
by: Cao, Rui, et al.
Published: (2024)

Generating Synthetic Datasets for Few-shot Prompt Tuning
by: Guo, Xu, et al.
Published: (2024)

Improving Generated and Retrieved Knowledge Combination Through Zero-shot Generation
by: Du, Xinkai, et al.
Published: (2024)

Paint Outside the Box: Synthesizing and Selecting Training Data for Visual Grounding
by: Du, Zilin, et al.
Published: (2024)

How Large Language Models Balance Internal Knowledge with User and Document Assertions
by: Li, Shuowei, et al.
Published: (2026)

Prompt-based Zero-shot Relation Extraction with Semantic Knowledge Augmentation
by: Gong, Jiaying, et al.
Published: (2021)

ReasVQA: Advancing VideoQA with Imperfect Reasoning Process
by: Liang, Jianxin, et al.
Published: (2025)

LinkQA: Synthesizing Diverse QA from Multiple Seeds Strongly Linked by Knowledge Points
by: Zhang, Xuemiao, et al.
Published: (2025)

Two Causally Related Needles in a Video Haystack
by: Li, Miaoyu, et al.
Published: (2025)

Zero-shot and Few-shot Generation Strategies for Artificial Clinical Records
by: Frayling, Erlend, et al.
Published: (2024)

Enhancing Vision-Language Compositional Understanding with Multimodal Synthetic Data
by: Li, Haoxin, et al.
Published: (2025)

FuseGen: PLM Fusion for Data-generation based Zero-shot Learning
by: Zou, Tianyuan, et al.
Published: (2024)

Diversifying Question Generation over Knowledge Base via External Natural Questions
by: Guo, Shasha, et al.
Published: (2023)

Demonstration Augmentation for Zero-shot In-context Learning
by: Su, Yi, et al.
Published: (2024)

Explainable Few-shot Knowledge Tracing
by: Li, Haoxuan, et al.
Published: (2024)

MedFrameQA: A Multi-Image Medical VQA Benchmark for Clinical Reasoning
by: Yu, Suhao, et al.
Published: (2025)

Zero-shot Persuasive Chatbots with LLM-Generated Strategies and Information Retrieval
by: Furumai, Kazuaki, et al.
Published: (2024)

Injecting Knowledge from Social Science Journals to Improve Indonesian Cultural Understanding by LLMs
by: Kartiyasa, Adimulya, et al.
Published: (2026)

AgentMove: A Large Language Model based Agentic Framework for Zero-shot Next Location Prediction
by: Feng, Jie, et al.
Published: (2024)

Medical Coding with Biomedical Transformer Ensembles and Zero/Few-shot Learning
by: Ziletti, Angelo, et al.
Published: (2022)

StorySparkQA: Expert-Annotated QA Pairs with Real-World Knowledge for Children's Story-Based Learning
by: Chen, Jiaju, et al.
Published: (2023)

Self-Prompting Large Language Models for Zero-Shot Open-Domain QA
by: Li, Junlong, et al.
Published: (2022)

BioGraphletQA: Knowledge-Anchored Generation of Complex QA Datasets
by: Jonker, Richard A. A., et al.
Published: (2026)

KCS: Diversify Multi-hop Question Generation with Knowledge Composition Sampling
by: Wang, Yangfan, et al.
Published: (2025)

TCE at Qur'an QA 2023 Shared Task: Low Resource Enhanced Transformer-based Ensemble Approach for Qur'anic QA
by: Elkomy, Mohammed Alaa, et al.
Published: (2024)

Robust Knowledge Editing via Explicit Reasoning Chains for Distractor-Resilient Multi-Hop QA
by: Wu, Yuchen, et al.
Published: (2025)

Label Set Optimization via Activation Distribution Kurtosis for Zero-shot Classification with Generative Models
by: Li, Yue, et al.
Published: (2024)

TypedThinker: Diversify Large Language Model Reasoning with Typed Thinking
by: Wang, Danqing, et al.
Published: (2024)

DomainCQA: Crafting Knowledge-Intensive QA from Domain-Specific Charts
by: Lu, Yujing, et al.
Published: (2025)

Exploiting GPT-4 Vision for Zero-shot Point Cloud Understanding
by: Sun, Qi, et al.
Published: (2024)

Harnessing Multiple Large Language Models: A Survey on LLM Ensemble
by: Chen, Zhijun, et al.
Published: (2025)

EWEK-QA: Enhanced Web and Efficient Knowledge Graph Retrieval for Citation-based Question Answering Systems
by: Dehghan, Mohammad, et al.
Published: (2024)

JBE-QA: Japanese Bar Exam QA Dataset for Assessing Legal Domain Knowledge
by: Cao, Zhihan, et al.
Published: (2025)

KG-Rank: Enhancing Large Language Models for Medical QA with Knowledge Graphs and Ranking Techniques
by: Yang, Rui, et al.
Published: (2024)

A Condensed Transition Graph Framework for Zero-shot Link Prediction with Large Language Models
by: Li, Mingchen, et al.
Published: (2024)

Are LLMs Stable Formal Logic Translators in Logical Reasoning Across Linguistically Diversified Texts?
by: Li, Qingchuan, et al.
Published: (2025)

KG-HTC: Integrating Knowledge Graphs into LLMs for Effective Zero-shot Hierarchical Text Classification
by: Zang, Qianbo, et al.
Published: (2025)

Zero-shot Explainable Mental Health Analysis on Social Media by Incorporating Mental Scales
by: Li, Wenyu, et al.
Published: (2024)

TRIDENT: Enhancing Large Language Model Safety with Tri-Dimensional Diversified Red-Teaming Data Synthesis
by: Wu, Xiaorui, et al.
Published: (2025)

Zero-RAG: Towards Retrieval-Augmented Generation with Zero Redundant Knowledge
by: Luo, Qi, et al.
Published: (2025)