SOTAVerified

Visual Question Answering

MLLM Leaderboard

Papers

Showing 9761000 of 2177 papers

TitleStatusHype
LLMGA: Multimodal Large Language Model based Generation AssistantCode2
Fully Authentic Visual Question Answering Dataset from Online CommunitiesCode0
EgoThink: Evaluating First-Person Perspective Thinking Capability of Vision-Language ModelsCode1
GeoChat: Grounded Large Vision-Language Model for Remote SensingCode2
Lego: Learning to Disentangle and Invert Personalized Concepts Beyond Object Appearance in Text-to-Image Diffusion Models0
ShareGPT4V: Improving Large Multi-Modal Models with Better CaptionsCode0
Filling the Image Information Gap for VQA: Prompting Large Language Models to Proactively Ask QuestionsCode0
Video-LLaVA: Learning United Visual Representation by Alignment Before ProjectionCode4
Improving Zero-shot Visual Question Answering via Large Language Models with Reasoning Question PromptsCode0
Attribute Diversity Determines the Systematicity Gap in VQACode0
Asking More Informative Questions for Grounded Retrieval0
A Comprehensive Evaluation of GPT-4V on Knowledge-Intensive Visual Question AnsweringCode1
Volcano: Mitigating Multimodal Hallucination through Self-Feedback Guided RevisionCode1
What Large Language Models Bring to Text-rich VQA?0
SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for Multi-modal Large Language ModelsCode4
To See is to Believe: Prompting GPT-4V for Better Visual Instruction TuningCode2
InfMLLM: A Unified Framework for Visual-Language TasksCode1
Visual Commonsense based Heterogeneous Graph Contrastive Learning0
Monkey: Image Resolution and Text Label Are Important Things for Large Multi-modal ModelsCode3
LLaVA-Plus: Learning to Use Tools for Creating Multimodal AgentsCode2
Zero-shot Translation of Attention Patterns in VQA Models to Natural LanguageCode0
GENOME: GenerativE Neuro-symbOlic visual reasoning by growing and reusing ModulEsCode1
mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality CollaborationCode4
OtterHD: A High-Resolution Multi-modality ModelCode4
CoVLM: Composing Visual Entities and Relationships in Large Language Models Via Communicative Decoding0
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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