SOTAVerified

Visual Question Answering

MLLM Leaderboard

Papers

Showing 76100 of 2177 papers

TitleStatusHype
Emu: Generative Pretraining in MultimodalityCode3
SimLingo: Vision-Only Closed-Loop Autonomous Driving with Language-Action AlignmentCode3
TokenPacker: Efficient Visual Projector for Multimodal LLMCode3
DriveLM: Driving with Graph Visual Question AnsweringCode3
Bilinear Attention NetworksCode3
Monkey: Image Resolution and Text Label Are Important Things for Large Multi-modal ModelsCode3
PreFLMR: Scaling Up Fine-Grained Late-Interaction Multi-modal RetrieversCode3
MLLMs Know Where to Look: Training-free Perception of Small Visual Details with Multimodal LLMsCode3
Lyra: An Efficient and Speech-Centric Framework for Omni-CognitionCode3
MM-Vet v2: A Challenging Benchmark to Evaluate Large Multimodal Models for Integrated CapabilitiesCode3
All You May Need for VQA are Image CaptionsCode3
M3D: Advancing 3D Medical Image Analysis with Multi-Modal Large Language ModelsCode3
Mipha: A Comprehensive Overhaul of Multimodal Assistant with Small Language ModelsCode3
Efficient Multimodal Large Language Models: A SurveyCode3
SkySense: A Multi-Modal Remote Sensing Foundation Model Towards Universal Interpretation for Earth Observation ImageryCode3
Q-Bench+: A Benchmark for Multi-modal Foundation Models on Low-level Vision from Single Images to PairsCode3
MoAI: Mixture of All Intelligence for Large Language and Vision ModelsCode3
LLaMA-VID: An Image is Worth 2 Tokens in Large Language ModelsCode2
List Items One by One: A New Data Source and Learning Paradigm for Multimodal LLMsCode2
LinVT: Empower Your Image-level Large Language Model to Understand VideosCode2
Large Continual Instruction AssistantCode2
Keeping Yourself is Important in Downstream Tuning Multimodal Large Language ModelCode2
JourneyDB: A Benchmark for Generative Image UnderstandingCode2
LingoQA: Visual Question Answering for Autonomous DrivingCode2
InstructBLIP: Towards General-purpose Vision-Language Models with Instruction TuningCode2
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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