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Visual Question Answering

MLLM Leaderboard

Papers

Showing 301325 of 2177 papers

TitleStatusHype
Language Quantized AutoEncoders: Towards Unsupervised Text-Image AlignmentCode1
ConceptBert: Concept-Aware Representation for Visual Question AnsweringCode1
Automated Generation of Challenging Multiple-Choice Questions for Vision Language Model EvaluationCode1
Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual ConceptsCode1
InfMLLM: A Unified Framework for Visual-Language TasksCode1
Inst-IT: Boosting Multimodal Instance Understanding via Explicit Visual Prompt Instruction TuningCode1
Improving Selective Visual Question Answering by Learning from Your PeersCode1
In Defense of Grid Features for Visual Question AnsweringCode1
A Unified End-to-End Retriever-Reader Framework for Knowledge-based VQACode1
INF-LLaVA: Dual-perspective Perception for High-Resolution Multimodal Large Language ModelCode1
IGLUE: A Benchmark for Transfer Learning across Modalities, Tasks, and LanguagesCode1
Lever LM: Configuring In-Context Sequence to Lever Large Vision Language ModelsCode1
I Can't Believe There's No Images! Learning Visual Tasks Using only Language SupervisionCode1
IconQA: A New Benchmark for Abstract Diagram Understanding and Visual Language ReasoningCode1
IllusionVQA: A Challenging Optical Illusion Dataset for Vision Language ModelsCode1
Hypergraph Transformer: Weakly-supervised Multi-hop Reasoning for Knowledge-based Visual Question AnsweringCode1
How to Configure Good In-Context Sequence for Visual Question AnsweringCode1
HyperLLaVA: Dynamic Visual and Language Expert Tuning for Multimodal Large Language ModelsCode1
Attention in Reasoning: Dataset, Analysis, and ModelingCode1
M3-Jepa: Multimodal Alignment via Multi-directional MoE based on the JEPA frameworkCode1
How Much Can CLIP Benefit Vision-and-Language Tasks?Code1
I2I: Initializing Adapters with Improvised KnowledgeCode1
IMPACT: A Large-scale Integrated Multimodal Patent Analysis and Creation Dataset for Design PatentsCode1
InstructionGPT-4: A 200-Instruction Paradigm for Fine-Tuning MiniGPT-4Code1
Attention-Based Context Aware Reasoning for Situation RecognitionCode1
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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