SOTAVerified

Visual Question Answering

MLLM Leaderboard

Papers

Showing 76100 of 2177 papers

TitleStatusHype
Vision-Language Models for Medical Report Generation and Visual Question Answering: A ReviewCode3
ALLaVA: Harnessing GPT4V-Synthesized Data for Lite Vision-Language ModelsCode3
PreFLMR: Scaling Up Fine-Grained Late-Interaction Multi-modal RetrieversCode3
Q-Bench+: A Benchmark for Multi-modal Foundation Models on Low-level Vision from Single Images to PairsCode3
Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive SurveyCode3
LLaVA-Phi: Efficient Multi-Modal Assistant with Small Language ModelCode3
TinyGPT-V: Efficient Multimodal Large Language Model via Small BackbonesCode3
DriveLM: Driving with Graph Visual Question AnsweringCode3
Generative Multimodal Models are In-Context LearnersCode3
SkySense: A Multi-Modal Remote Sensing Foundation Model Towards Universal Interpretation for Earth Observation ImageryCode3
Vary: Scaling up the Vision Vocabulary for Large Vision-Language ModelsCode3
Monkey: Image Resolution and Text Label Are Important Things for Large Multi-modal ModelsCode3
Emu: Generative Pretraining in MultimodalityCode3
Champion Solution for the WSDM2023 Toloka VQA ChallengeCode3
Vision-Language Pre-training: Basics, Recent Advances, and Future TrendsCode3
All You May Need for VQA are Image CaptionsCode3
Bilinear Attention NetworksCode3
FlagEvalMM: A Flexible Framework for Comprehensive Multimodal Model EvaluationCode2
VTool-R1: VLMs Learn to Think with Images via Reinforcement Learning on Multimodal Tool UseCode2
Patho-R1: A Multimodal Reinforcement Learning-Based Pathology Expert ReasonerCode2
MedM-VL: What Makes a Good Medical LVLM?Code2
ILLUME+: Illuminating Unified MLLM with Dual Visual Tokenization and Diffusion RefinementCode2
FortisAVQA and MAVEN: a Benchmark Dataset and Debiasing Framework for Robust Multimodal ReasoningCode2
Med3DVLM: An Efficient Vision-Language Model for 3D Medical Image AnalysisCode2
MC-LLaVA: Multi-Concept Personalized Vision-Language ModelCode2
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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