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Visual Question Answering

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Papers

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Showing 1051–1100 of 2177 papers

TitleStatusHype
IIU: Independent Inference Units for Knowledge-based Visual Question AnsweringCode0
Enhancing Visual Question Answering through Ranking-Based Hybrid Training and Multimodal Fusion—0
CROME: Cross-Modal Adapters for Efficient Multimodal LLM—0
Revisiting Multi-Modal LLM Evaluation—0
Img-Diff: Contrastive Data Synthesis for Multimodal Large Language Models—0
Optimus: Accelerating Large-Scale Multi-Modal LLM Training by Bubble Exploitation—0
Targeted Visual Prompting for Medical Visual Question AnsweringCode0
LLaVA-OneVision: Easy Visual Task TransferCode0
MMPKUBase: A Comprehensive and High-quality Chinese Multi-modal Knowledge Graph—0
Towards Flexible Evaluation for Generative Visual Question AnsweringCode0
Prompting Medical Large Vision-Language Models to Diagnose Pathologies by Visual Question Answering—0
SimpleLLM4AD: An End-to-End Vision-Language Model with Graph Visual Question Answering for Autonomous Driving—0
Pyramid Coder: Hierarchical Code Generator for Compositional Visual Question Answering—0
VolDoGer: LLM-assisted Datasets for Domain Generalization in Vision-Language Tasks—0
Take A Step Back: Rethinking the Two Stages in Visual Reasoning—0
AdaCoder: Adaptive Prompt Compression for Programmatic Visual Question Answering—0
VILA^2: VILA Augmented VILA—0
Imperfect Vision Encoders: Efficient and Robust Tuning for Vision-Language Models—0
Knowledge Acquisition Disentanglement for Knowledge-based Visual Question Answering with Large Language ModelsCode0
Exploring the Effectiveness of Object-Centric Representations in Visual Question Answering: Comparative Insights with Foundation Models—0
QuIIL at T3 challenge: Towards Automation in Life-Saving Intervention Procedures from First-Person ViewCode0
ProcTag: Process Tagging for Assessing the Efficacy of Document Instruction Data—0
Multimodal Reranking for Knowledge-Intensive Visual Question Answering—0
EchoSight: Advancing Visual-Language Models with Wiki Knowledge—0
TM-PATHVQA:90000+ Textless Multilingual Questions for Medical Visual Question Answering—0
Benchmarking Vision Language Models for Cultural Understanding—0
Segmentation-guided Attention for Visual Question Answering from Remote Sensing Images—0
Extracting Training Data from Document-Based VQA Models—0
VQA-Diff: Exploiting VQA and Diffusion for Zero-Shot Image-to-3D Vehicle Asset Generation in Autonomous Driving—0
Large Language Models Understand LayoutCode0
Rethinking Visual Prompting for Multimodal Large Language Models with External Knowledge—0
Second Place Solution of WSDM2023 Toloka Visual Question Answering Challenge—0
Black-box Model Ensembling for Textual and Visual Question Answering via Information FusionCode0
BACON: Improving Clarity of Image Captions via Bag-of-Concept Graphs—0
MindBench: A Comprehensive Benchmark for Mind Map Structure Recognition and Analysis—0
InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output—0
Visual Robustness Benchmark for Visual Question Answering (VQA)Code0
Certainly Uncertain: A Benchmark and Metric for Multimodal Epistemic and Aleatoric Awareness—0
Assistive Image Annotation Systems with Deep Learning and Natural Language Capabilities: A Review—0
The Illusion of Competence: Evaluating the Effect of Explanations on Users' Mental Models of Visual Question Answering SystemsCode0
FlowVQA: Mapping Multimodal Logic in Visual Question Answering with Flowcharts—0
Disentangling Knowledge-based and Visual Reasoning by Question Decomposition in KB-VQA—0
Enhancing Continual Learning in Visual Question Answering with Modality-Aware Feature DistillationCode0
Evaluating Fairness in Large Vision-Language Models Across Diverse Demographic Attributes and PromptsCode0
Claude 3.5 Sonnet Model Card Addendum—0
GPT-4V Explorations: Mining Autonomous Driving—0
MM-SpuBench: Towards Better Understanding of Spurious Biases in Multimodal LLMs—0
MR-MLLM: Mutual Reinforcement of Multimodal Comprehension and Vision Perception—0
Tri-VQA: Triangular Reasoning Medical Visual Question Answering for Multi-Attribute Analysis—0
Does Object Grounding Really Reduce Hallucination of Large Vision-Language Models?—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MMCTAgent (GPT-4 + GPT-4V)GPT-4 score74.24—Unverified
2Qwen2-VL-72BGPT-4 score74—Unverified
3InternVL2.5-78BGPT-4 score72.3—Unverified
4GPT-4o +text rationale +IoTGPT-4 score72.2—Unverified
5Lyra-ProGPT-4 score71.4—Unverified
6GLM-4V-PlusGPT-4 score71.1—Unverified
7Phantom-7BGPT-4 score70.8—Unverified
8InternVL2.5-38BGPT-4 score68.8—Unverified
9InternVL2-26B (SGP, token ratio 64%)GPT-4 score65.6—Unverified
10Baichuan-Omni (7B)GPT-4 score65.4—Unverified