SOTAVerified

Visual Question Answering

MLLM Leaderboard

Papers

Showing 12761300 of 2177 papers

TitleStatusHype
Interactive Visual Task Learning for Robots0
Multi-Clue Reasoning with Memory Augmentation for Knowledge-based Visual Question Answering0
VQA4CIR: Boosting Composed Image Retrieval with Visual Question AnsweringCode0
OsmLocator: locating overlapping scatter marks with a non-training generative perspectiveCode0
CLOVA: A Closed-Loop Visual Assistant with Tool Usage and Update0
Silkie: Preference Distillation for Large Visual Language Models0
p-Laplacian Adaptation for Generative Pre-trained Vision-Language ModelsCode0
An Evaluation of GPT-4V and Gemini in Online VQA0
Advancing Surgical VQA with Scene Graph Knowledge0
BESTMVQA: A Benchmark Evaluation System for Medical Visual Question Answering0
Remote Sensing Vision-Language Foundation Models without Annotations via Ground Remote Alignment0
Image Content Generation with Causal ReasoningCode0
Causal-CoG: A Causal-Effect Look at Context Generation for Boosting Multi-modal Language Models0
CLAMP: Contrastive LAnguage Model Prompt-tuning0
MedXChat: A Unified Multimodal Large Language Model Framework towards CXRs Understanding and Generation0
Unleashing the Potential of Large Language Model: Zero-shot VQA for Flood Disaster Scenario0
Merlin:Empowering Multimodal LLMs with Foresight Minds0
Towards Top-Down Reasoning: An Explainable Multi-Agent Approach for Visual Question Answering0
DreamSync: Aligning Text-to-Image Generation with Image Understanding Feedback0
The curse of language biases in remote sensing VQA: the role of spatial attributes, language diversity, and the need for clear evaluation0
Fully Authentic Visual Question Answering Dataset from Online CommunitiesCode0
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
Improving Zero-shot Visual Question Answering via Large Language Models with Reasoning Question PromptsCode0
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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