SOTAVerified

Visual Question Answering

MLLM Leaderboard

Papers

Showing 5175 of 2177 papers

TitleStatusHype
LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One DayCode4
Otter: A Multi-Modal Model with In-Context Instruction TuningCode4
mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and VideoCode4
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language ModelsCode4
Flamingo: a Visual Language Model for Few-Shot LearningCode4
InfoChartQA: A Benchmark for Multimodal Question Answering on Infographic ChartsCode3
SimLingo: Vision-Only Closed-Loop Autonomous Driving with Language-Action AlignmentCode3
MLLMs Know Where to Look: Training-free Perception of Small Visual Details with Multimodal LLMsCode3
SoFar: Language-Grounded Orientation Bridges Spatial Reasoning and Object ManipulationCode3
VARGPT: Unified Understanding and Generation in a Visual Autoregressive Multimodal Large Language ModelCode3
Lyra: An Efficient and Speech-Centric Framework for Omni-CognitionCode3
VisionZip: Longer is Better but Not Necessary in Vision Language ModelsCode3
Benchmarking Multimodal Retrieval Augmented Generation with Dynamic VQA Dataset and Self-adaptive Planning AgentCode3
Baichuan-Omni Technical ReportCode3
Emu3: Next-Token Prediction is All You NeedCode3
MM-Vet v2: A Challenging Benchmark to Evaluate Large Multimodal Models for Integrated CapabilitiesCode3
TokenPacker: Efficient Visual Projector for Multimodal LLMCode3
Efficient Multimodal Large Language Models: A SurveyCode3
View Selection for 3D Captioning via Diffusion RankingCode3
Evaluating Text-to-Visual Generation with Image-to-Text GenerationCode3
M3D: Advancing 3D Medical Image Analysis with Multi-Modal Large Language ModelsCode3
MoAI: Mixture of All Intelligence for Large Language and Vision ModelsCode3
Mipha: A Comprehensive Overhaul of Multimodal Assistant with Small Language ModelsCode3
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of contextCode3
Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language ModelsCode3
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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