SOTAVerified

Visual Question Answering

MLLM Leaderboard

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1651–1700 of 2177 papers

TitleStatusHype
Visual Question Answering in the Medical Domain—0
Visual Question Answering on 360° Images—0
Visual Question Answering on Image Sets—0
Visual Question Answering on Multiple Remote Sensing Image Modalities—0
Visual Question Answering Using Semantic Information from Image Descriptions—0
Visual Question Answering (VQA) on Images with Superimposed Text—0
Visual Question Answering with Memory-Augmented Networks—0
Visual Question Answering with Prior Class Semantics—0
Visual Question Answering with Question Representation Update (QRU)—0
Visual Question Generation as Dual Task of Visual Question Answering—0
Visual Question: Predicting If a Crowd Will Agree on the Answer—0
Visual Question Reasoning on General Dependency Tree—0
Visual Reference Resolution using Attention Memory for Visual Dialog—0
Visual Relationship Detection using Scene Graphs: A Survey—0
Visual Superordinate Abstraction for Robust Concept Learning—0
Visual TTR - Modelling Visual Question Answering in Type Theory with Records—0
ViT3D Alignment of LLaMA3: 3D Medical Image Report Generation—0
ViUniT: Visual Unit Tests for More Robust Visual Programming—0
VL-BEiT: Generative Vision-Language Pretraining—0
VLFeedback: A Large-Scale AI Feedback Dataset for Large Vision-Language Models Alignment—0
VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks—0
VLMAE: Vision-Language Masked Autoencoder—0
VL-Mamba: Exploring State Space Models for Multimodal Learning—0
VLM-Assisted Continual learning for Visual Question Answering in Self-Driving—0
VLR-Bench: Multilingual Benchmark Dataset for Vision-Language Retrieval Augmented Generation—0
EVJVQA Challenge: Multilingual Visual Question Answering—0
VolDoGer: LLM-assisted Datasets for Domain Generalization in Vision-Language Tasks—0
VQA-Aid: Visual Question Answering for Post-Disaster Damage Assessment and Analysis—0
VQABQ: Visual Question Answering by Basic Questions—0
VQA-Diff: Exploiting VQA and Diffusion for Zero-Shot Image-to-3D Vehicle Asset Generation in Autonomous Driving—0
VQA-E: Explaining, Elaborating, and Enhancing Your Answers for Visual Questions—0
VQA-GEN: A Visual Question Answering Benchmark for Domain Generalization—0
VQA-GNN: Reasoning with Multimodal Knowledge via Graph Neural Networks for Visual Question Answering—0
VQA-LOL: Visual Question Answering under the Lens of Logic—0
VQA-MHUG: A Gaze Dataset to Study Multimodal Neural Attention in Visual Question Answering—0
VQA Training Sets are Self-play Environments for Generating Few-shot Pools—0
VQAttack: Transferable Adversarial Attacks on Visual Question Answering via Pre-trained Models—0
VQA with Cascade of Self- and Co-Attention Blocks—0
VSA4VQA: Scaling a Vector Symbolic Architecture to Visual Question Answering on Natural Images—0
WangLab at MEDIQA-M3G 2024: Multimodal Medical Answer Generation using Large Language Models—0
Weak Supervision helps Emergence of Word-Object Alignment and improves Vision-Language Tasks—0
What If We Recaption Billions of Web Images with LLaMA-3?—0
What is needed for simple spatial language capabilities in VQA?—0
What Large Language Models Bring to Text-rich VQA?—0
When are Lemons Purple? The Concept Association Bias of Vision-Language Models—0
Where is this coming from? Making groundedness count in the evaluation of Document VQA models—0
Where To Look: Focus Regions for Visual Question Answering—0
Which Client is Reliable?: A Reliable and Personalized Prompt-based Federated Learning for Medical Image Question Answering—0
Why context matters in VQA and Reasoning: Semantic interventions for VLM input modalities—0
Why Does a Visual Question Have Different Answers?—0
Show:102550
← PrevPage 34 of 44Next →
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