SOTAVerified

Visual Question Answering

MLLM Leaderboard

Papers

Showing 9511000 of 2177 papers

TitleStatusHype
ViLA: Efficient Video-Language Alignment for Video Question AnsweringCode1
Remote Sensing Vision-Language Foundation Models without Annotations via Ground Remote Alignment0
Image Content Generation with Causal ReasoningCode0
VILA: On Pre-training for Visual Language ModelsCode4
Hallucination Augmented Contrastive Learning for Multimodal Large Language ModelCode1
Genixer: Empowering Multimodal Large Language Models as a Powerful Data GeneratorCode1
Vary: Scaling up the Vision Vocabulary for Large Vision-Language ModelsCode3
NuScenes-MQA: Integrated Evaluation of Captions and QA for Autonomous Driving Datasets using Markup AnnotationsCode1
Causal-CoG: A Causal-Effect Look at Context Generation for Boosting Multi-modal Language Models0
Language-Informed Visual Concept LearningCode1
OneLLM: One Framework to Align All Modalities with LanguageCode2
BenchLMM: Benchmarking Cross-style Visual Capability of Large Multimodal ModelsCode1
Recursive Visual ProgrammingCode1
MedXChat: A Unified Multimodal Large Language Model Framework towards CXRs Understanding and Generation0
Good Questions Help Zero-Shot Image ReasoningCode1
CLAMP: Contrastive LAnguage Model Prompt-tuning0
Unleashing the Potential of Large Language Model: Zero-shot VQA for Flood Disaster Scenario0
How to Configure Good In-Context Sequence for Visual Question AnsweringCode1
RLHF-V: Towards Trustworthy MLLMs via Behavior Alignment from Fine-grained Correctional Human FeedbackCode6
Merlin:Empowering Multimodal LLMs with Foresight Minds0
DreamSync: Aligning Text-to-Image Generation with Image Understanding Feedback0
Towards Top-Down Reasoning: An Explainable Multi-Agent Approach for Visual Question Answering0
Emergent Open-Vocabulary Semantic Segmentation from Off-the-shelf Vision-Language ModelsCode1
LLaMA-VID: An Image is Worth 2 Tokens in Large Language ModelsCode2
The curse of language biases in remote sensing VQA: the role of spatial attributes, language diversity, and the need for clear evaluation0
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
Show:102550
← PrevPage 20 of 44Next →

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