SOTAVerified

Visual Question Answering

MLLM Leaderboard

Papers

Showing 226250 of 2177 papers

TitleStatusHype
InfMLLM: A Unified Framework for Visual-Language TasksCode1
InstructionGPT-4: A 200-Instruction Paradigm for Fine-Tuning MiniGPT-4Code1
Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset BiasesCode1
Does Vision-and-Language Pretraining Improve Lexical Grounding?Code1
A Comparison of Pre-trained Vision-and-Language Models for Multimodal Representation Learning across Medical Images and ReportsCode1
Instruction-Guided Visual MaskingCode1
DocVQA: A Dataset for VQA on Document ImagesCode1
Improving Selective Visual Question Answering by Learning from Your PeersCode1
IllusionVQA: A Challenging Optical Illusion Dataset for Vision Language ModelsCode1
Distilled Dual-Encoder Model for Vision-Language UnderstandingCode1
IMPACT: A Large-scale Integrated Multimodal Patent Analysis and Creation Dataset for Design PatentsCode1
In Defense of Grid Features for Visual Question AnsweringCode1
Bilateral Cross-Modality Graph Matching Attention for Feature Fusion in Visual Question AnsweringCode1
I Can't Believe There's No Images! Learning Visual Tasks Using only Language SupervisionCode1
Lever LM: Configuring In-Context Sequence to Lever Large Vision Language ModelsCode1
Boosting Audio Visual Question Answering via Key Semantic-Aware CuesCode1
Answer Mining from a Pool of Images: Towards Retrieval-Based Visual Question AnsweringCode1
HyperLLaVA: Dynamic Visual and Language Expert Tuning for Multimodal Large Language ModelsCode1
Bottom-Up and Top-Down Attention for Image Captioning and Visual Question AnsweringCode1
Hypergraph Transformer: Weakly-supervised Multi-hop Reasoning for Knowledge-based Visual Question AnsweringCode1
I2I: Initializing Adapters with Improvised KnowledgeCode1
IconQA: A New Benchmark for Abstract Diagram Understanding and Visual Language ReasoningCode1
Disentangling 3D Prototypical Networks For Few-Shot Concept LearningCode1
AntifakePrompt: Prompt-Tuned Vision-Language Models are Fake Image DetectorsCode1
How Much Can CLIP Benefit Vision-and-Language Tasks?Code1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MMCTAgent (GPT-4 + GPT-4V)GPT-4 score74.24Unverified
2Qwen2-VL-72BGPT-4 score74Unverified
3InternVL2.5-78BGPT-4 score72.3Unverified
4GPT-4o +text rationale +IoTGPT-4 score72.2Unverified
5Lyra-ProGPT-4 score71.4Unverified
6GLM-4V-PlusGPT-4 score71.1Unverified
7Phantom-7BGPT-4 score70.8Unverified
8InternVL2.5-38BGPT-4 score68.8Unverified
9InternVL2-26B (SGP, token ratio 64%)GPT-4 score65.6Unverified
10Baichuan-Omni (7B)GPT-4 score65.4Unverified