Knowledge-Based Visual Question Answering

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Period ending 2026-09-21

5 new papers

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Period ending 2026-09-07

4 new papers

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106 papers

Latest in Knowledge-Based Visual Question Answering

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MSUE: Multi-Modal Soccer Understanding Expert
Jun 10, 2026Litao Li, Yibo Yu, Yufeng Hu +4Knowledge-Based Visual Question Answering Benchmarks Knowledge-Based Visual Question Answering
SD-GRPO: Verifiable Segment Decomposition for Long-Form Vision-Language Generation
Jun 2, 2026Hyunwoong Kim, Seongeun Lee, Hannah Yun +2Large Vision Language Models Group Relative Policy Optimization
Distilling Answer-Set Programming Rules from LLMs for Neurosymbolic Visual Question Answering
Jun 2, 2026Thomas Eiter, Nelson Higuera Ruiz, Johannes OetschKnowledge-Based Visual Question Answering Neuro-Symbolic Framework
PIXELRAG: Web Screenshots Beat Text for Retrieval-Augmented Generation
Jun 1, 2026Yichuan Wang, Zhifei Li, Zirui Wang +5Visual Document Retrieval Knowledge-Based Visual Question Answering
Disentanglement-Based Equivariant Learning for Compositional VQA
Jun 1, 2026Zhou Du, Zhaoquan Yuan, Xiao Wu +1Knowledge-Based Visual Question Answering
MM-Snowball: Evaluating and Mitigating Hallucination Snowballing in Multimodal Multi-Turn Dialogue
May 30, 2026Yue Jiang, Xue Jiang, Lihua Zhang +6Large Language Model Hallucination Multi-Turn Conversations
Detect Before You Leap: Mirage Detection in Vision-Language Models
May 29, 2026Md. Shaown Miah, S. M. Taiabul Haque, Syed Ishtiaque Ahmed +1Knowledge-Based Visual Question Answering Few-Shot Contrastive Language-Image Pre-Training Adaptation
Inference-Free Multimodal Learned Sparse Retrieval for Production-Scale Visual Document Search
May 29, 2026Gyu-Hwung Cho, Youngjune Lee, Kiyoon Jeong +5Visual Document Retrieval Multimodal Retrieval
Seeing Before Agreeing: Aligning Multi-Agent Consensus with Visual Evidence
May 29, 2026Yuhan Wang, Shuochen Chang, Yalin Feng +8Knowledge-Based Visual Question Answering Multimodal Agents
Semantic and Visual Evidence for Efficient Long-Video Reasoning: A Solution for the HD-EPIC VQA Challenge
May 28, 2026Yinsong Xu, Wei Jing, Liuxin Zhang +2Video Understanding Knowledge-Based Visual Question Answering
Personal Visual Memory from Explicit and Implicit Evidence
May 27, 2026Viet Nguyen, Thao Nguyen, Vishal M. Patel +1Visual Memory Long-Term Memory
Rethinking VLM Representation for VLA Initialization
May 25, 2026Weifeng Lin, Siyuan Huang, Hao Li +5Vision-Language-Action Models Vision-Language
RoboSurg-VQA: A Multimodal Benchmark for Surgical Segmentation-Aware Visual Question Answering
May 21, 2026Chengyi Zhang, Zi Ye, Ziyang WangKnowledge-Based Visual Question Answering Textvqa
HyLoVQA: Dynamic Hypernetwork-Generated Low-Rank Adaptation for Continual Visual Question Answering
May 21, 2026Yiran Wang, Chenyi Xiong, Ziyue Qin +3Vision-Language Model Adaptation Knowledge-Based Visual Question Answering
MetaRA: Metamorphic Robustness Assessment for Multimodal Large Language Model-based Visual Question Answering Systems
May 19, 2026Quanxing Xu, Yuhao Tian, Ling Zhou +4Knowledge-Based Visual Question Answering Multimodal Artificial Intelligence
Chain-of-Procedure: Hierarchical Visual-Language Reasoning for Procedural QA
May 14, 2026Guanhua Chen, Yutong Yao, Shenghe Sun +5Knowledge-Based Visual Question Answering Large Vision Language Models
Training Long-Context Vision-Language Models Effectively with Generalization Beyond 128K Context
May 13, 2026Zhaowei Wang, Lishu Luo, Haodong Duan +9Efficient Long-Context Inference Large Vision Language Models
RadThinking: A Dataset for Longitudinal Clinical Reasoning in Radiology
May 11, 2026Wenxuan Li, Pedro R. A. S. Bassi, Xinze Zhou +3Medical Visual Question Answering Clinical Reasoning
Beyond Bag-of-Patches: Learning Global Layout via Textual Supervision for Late-Interaction Visual Document Retrieval
May 8, 2026Pascal Tilli, Mohsen MesgarVisual Document Retrieval Knowledge-Based Visual Question Answering
PolarVLM: Bridging the Semantic-Physical Gap in Vision-Language Models
May 8, 2026Yuliang Li, Chu Zhou, Heng Guo +3Large Vision Language Models Polarization
Towards Self-Explainable Document Visual Question Answering with Chain-of-Explanation Predictions
May 7, 2026Kjetil Indrehus, Adrian Duric, Changkyu Choi +1Knowledge-Based Visual Question Answering Textvqa
VTAgent: Agentic Keyframe Anchoring for Evidence-Aware Video TextVQA
May 6, 2026Haibin He, Maoyuan Ye, Jing Zhang +2Video Question Answering Textvqa
Enhancing Visual Question Answering with Multimodal LLMs via Chain-of-Question Guided Retrieval-Augmented Generation
May 5, 2026Quanxing Xu, Ling Zhou, Xian Zhong +3Knowledge-Based Visual Question Answering Vision-Language
MHPR: Multidimensional Human Perception and Reasoning Benchmark for Large Vision-Languate Models
May 5, 2026Kangkang Wang, Qinting Jiang, Wanping Zhang +2Multimodal Reasoning Benchmarks Large Vision Language Models
WorldJen: An End-to-End Multi-Dimensional Benchmark for Generative Video Models
May 5, 2026Karthik Inbasekar, Guy Rom, Omer ShlomovitsLarge-Scale Video Generation Models Knowledge-Based Visual Question Answering
Chain of Evidence: Pixel-Level Visual Attribution for Iterative Retrieval-Augmented Generation
May 2, 2026Peiyang Liu, Ziqiang Cui, Xi Wang +2Multi-Source Retrieval-Augmented Generation Knowledge-Based Visual Question Answering
M $^3$ -VQA: A Benchmark for Multimodal, Multi-Entity, Multi-Hop Visual Question Answering
Apr 28, 2026Jiatong Ma, Longteng Guo, Yuchen Liu +4Knowledge-Based Visual Question Answering Multimodal Reasoning
Multimodal QUD: Inquisitive Questions from Scientific Figures
Apr 26, 2026Yating Wu, William Rudman, Venkata S Govindarajan +2Multimodal Query Knowledge-Based Visual Question Answering
HAC: Parameter-Efficient Hyperbolic Adaptation of CLIP for Zero-Shot VQA
Apr 26, 2026Francesco Dibitonto, Cigdem Beyan, Vittorio MurinoFrozen Contrastive Language-Image Pre-Training Visual Encoder Knowledge-Based Visual Question Answering
Revisiting Greedy Decoding for Visual Question Answering: A Calibration Perspective
Apr 25, 2026Boqi Chen, Xudong Liu, Yunke Ao +1Knowledge-Based Visual Question Answering Camera Intrinsics
Lightweight and Production-Ready PDF Visual Element Parsing
Apr 25, 2026Meizhu Liu, Yassi Abbasi, Matthew Rowe +2Visual Document Retrieval Knowledge-Based Visual Question Answering
BERAG: Bayesian Ensemble Retrieval-Augmented Generation for Knowledge-based Visual Question Answering
Apr 24, 2026Jinghong Chen, Jingbiao Mei, Guangyu Yang +1Retrieval-Augmented Generation Systems Knowledge-Based Visual Question Answering
X-PCR: A Benchmark for Cross-modality Progressive Clinical Reasoning in Ophthalmic Diagnosis
Apr 22, 2026Gui Wang, Zehao Zhong, YongSong Zhou +6Multimodal Clinical Data Ophthalmology
Revisiting Change VQA in Remote Sensing with Structured and Native Multimodal Qwen Models
Apr 20, 2026Yakoub Bazi, Mohamad M. Al Rahhal, Mansour Zuair +1Remote Sensing Knowledge-Based Visual Question Answering
AeroRAG: Structured Multimodal Retrieval-Augmented LLM for Fine-Grained Aerial Visual Reasoning
Apr 20, 2026Junxiao Xue, Quan Deng, Tingqi Hu +4Knowledge-Based Visual Question Answering Multi-Source Retrieval-Augmented Generation
AutoVQA-G: Self-Improving Agentic Framework for Automated Visual Question Answering and Grounding Annotation
Apr 19, 2026Rongsheng Hu, Runwei Guan, Yicheng Di +2Knowledge-Based Visual Question Answering Textvqa
CoGR-MoE: Concept-Guided Expert Routing with Consistent Selection and Flexible Reasoning for Visual Question Answering
Apr 18, 2026Xiyin Zeng, Yi Lu, Hao WangKnowledge-Based Visual Question Answering Experts
VEFX-Bench: A Holistic Benchmark for Generic Video Editing and Visual Effects
Apr 17, 2026Xiangbo Gao, Sicong Jiang, Bangya Liu +12Video Editing Knowledge-Based Visual Question Answering
AEGIS: Anchor-Enforced Gradient Isolation for Knowledge-Preserving Vision-Language-Action Fine-Tuning
Apr 17, 2026Guransh SinghPretrained Vision-Language-Action Knowledge-Based Visual Question Answering
AIM: Asymmetric Information Masking for Visual Question Answering Continual Learning
Apr 16, 2026Peifeng Zhang, Zice Qiu, Donghua Yu +4Knowledge-Based Visual Question Answering Catastrophic Forgetting
Learning to Search: A Decision-Based Agent for Knowledge-Based Visual Question Answering
Apr 8, 2026Zhuohong Chen, Zhenxian Wu, Yunyao Yu +6Knowledge-Based Visual Question Answering Agent Decisions
Wiki-R1: Incentivizing Multimodal Reasoning for Knowledge-based VQA via Data and Sampling Curriculum
Mar 5, 2026Shan Ning, Longtian Qiu, Xuming HeKnowledge-Based Visual Question Answering Knowledge-Based Visual Question Answering Benchmarks
Counterfeit Answers: Adversarial Forgery against OCR-Free Document Visual Question Answering
Dec 4, 2025Marco Pintore, Maura Pintor, Dimosthenis Karatzas +1Knowledge-Based Visual Question Answering
Unexplored flaws in multiple-choice VQA make benchmarking unreliable
Nov 27, 2025Fabio Rosenthal, Sebastian Schmidt, Thorsten Graf +3Multiple-Choice Questions Knowledge-Based Visual Question Answering
From Hindsight to Foresight: Self-Encouraged Hindsight Distillation for Knowledge-based Visual Question Answering
Nov 14, 2025Yu Zhao, Ying Zhang, Xuhui Sui +4Knowledge-Based Visual Question Answering Hindsight
LUQ: Layerwise Ultra-Low Bit Quantization for Multimodal Large Language Models
Sep 28, 2025Shubhang Bhatnagar, Andy Xu, Kar-Han Tan +1Large Language Model Quantization Multi-Modal Large Language Models

Jun 10, 2026 · cs.CVJ/K move · Enter open · S save

MSUE: Multi-Modal Soccer Understanding Expert

Litao Li, Yibo Yu, Yufeng Hu, Zhuo Yang+3

South China University of Technology · Johns Hopkins University · University of Electronic Science and Technology of China · Peking University

This paper presents our solution to the 2026 SoccerNet VQA Challenge. We first develop a cost-effective data synthesis pipeline driven by a Vision-Language Model (VLM), which systematically restructures raw domain data into diverse VQA samples, including concise answers and long-form responses. Second, we propose MSUE, a multi-expert question answering architecture that employs a Large Language Model (LLM) to dynamically dispatch questions to text, image, and video experts. These experts are instantiated as a strong text baseline Gemini3-Flash, a fine-tuned Qwen3-VL, and an external knowledge base, respectively, working collaboratively to enhance VQA performance. MSUE achieves an accuracy of \textbf{0.95} on the challenge benchmark, securing third place in the leaderboard.

Knowledge-Based Visual Question Answering Benchmarks Knowledge-Based Visual Question Answering

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