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Visual Question Answering

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Papers

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Showing 551–600 of 2177 papers

TitleStatusHype
Show-o: One Single Transformer to Unify Multimodal Understanding and GenerationCode5
Swarm Intelligence in Geo-Localization: A Multi-Agent Large Vision-Language Model Collaborative Framework—0
CluMo: Cluster-based Modality Fusion Prompt for Continual Learning in Visual Question AnsweringCode0
SEA: Supervised Embedding Alignment for Token-Level Visual-Textual Integration in MLLMs—0
V-RoAst: Visual Road Assessment. Can VLM be a Road Safety Assessor Using the iRAP Standard?Code1
TeamLoRA: Boosting Low-Rank Adaptation with Expert Collaboration and CompetitionCode0
PA-LLaVA: A Large Language-Vision Assistant for Human Pathology Image UnderstandingCode2
FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge InjectionCode0
Beyond the Hype: A dispassionate look at vision-language models in medical scenario—0
Med-PMC: Medical Personalized Multi-modal Consultation with a Proactive Ask-First-Observe-Next ParadigmCode0
A Survey on Benchmarks of Multimodal Large Language ModelsCode2
Visual Agents as Fast and Slow ThinkersCode1
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
SWIFT:A Scalable lightWeight Infrastructure for Fine-TuningCode11
mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language ModelsCode7
Surgical-VQLA++: Adversarial Contrastive Learning for Calibrated Robust Visual Question-Localized Answering in Robotic SurgeryCode1
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
GMAI-MMBench: A Comprehensive Multimodal Evaluation Benchmark Towards General Medical AICode2
Targeted Visual Prompting for Medical Visual Question AnsweringCode0
LLaVA-OneVision: Easy Visual Task TransferCode0
Lumina-mGPT: Illuminate Flexible Photorealistic Text-to-Image Generation with Multimodal Generative PretrainingCode7
MMPKUBase: A Comprehensive and High-quality Chinese Multi-modal Knowledge Graph—0
Towards Flexible Evaluation for Generative Visual Question AnsweringCode0
MM-Vet v2: A Challenging Benchmark to Evaluate Large Multimodal Models for Integrated CapabilitiesCode3
SimpleLLM4AD: An End-to-End Vision-Language Model with Graph Visual Question Answering for Autonomous Driving—0
Prompting Medical Large Vision-Language Models to Diagnose Pathologies by Visual Question Answering—0
Boosting Audio Visual Question Answering via Key Semantic-Aware CuesCode1
Pyramid Coder: Hierarchical Code Generator for Compositional Visual Question Answering—0
Take A Step Back: Rethinking the Two Stages in Visual Reasoning—0
VolDoGer: LLM-assisted Datasets for Domain Generalization in Vision-Language Tasks—0
AdaCoder: Adaptive Prompt Compression for Programmatic Visual Question Answering—0
Towards A Generalizable Pathology Foundation Model via Unified Knowledge DistillationCode2
VILA^2: VILA Augmented VILA—0
INF-LLaVA: Dual-perspective Perception for High-Resolution Multimodal Large Language ModelCode1
Imperfect Vision Encoders: Efficient and Robust Tuning for Vision-Language Models—0
Learning Trimodal Relation for AVQA with Missing ModalityCode1
Exploring the Effectiveness of Object-Centric Representations in Visual Question Answering: Comparative Insights with Foundation Models—0
Knowledge Acquisition Disentanglement for Knowledge-based Visual Question Answering with Large Language ModelsCode0
HaloQuest: A Visual Hallucination Dataset for Advancing Multimodal ReasoningCode1
MMInstruct: A High-Quality Multi-Modal Instruction Tuning Dataset with Extensive DiversityCode2
QuIIL at T3 challenge: Towards Automation in Life-Saving Intervention Procedures from First-Person ViewCode0
Visual Haystacks: A Vision-Centric Needle-In-A-Haystack BenchmarkCode1
Multimodal Reranking for Knowledge-Intensive Visual Question Answering—0
ProcTag: Process Tagging for Assessing the Efficacy of Document Instruction Data—0
EchoSight: Advancing Visual-Language Models with Wiki Knowledge—0
TM-PATHVQA:90000+ Textless Multilingual Questions for Medical Visual Question Answering—0
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All datasetsMM-VetViP-BenchVQA v2 test-devBenchLMMMMBenchV*benchVQA v2 valMSRVTT-QAVQA v2 test-stdMMHal-BenchMSVD-QAPlotQA-D1

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