SOTAVerified

Visual Question Answering

MLLM Leaderboard

Papers

Showing 125 of 2177 papers

TitleStatusHype
JanusFlow: Harmonizing Autoregression and Rectified Flow for Unified Multimodal Understanding and GenerationCode11
Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any ResolutionCode11
RLAIF-V: Open-Source AI Feedback Leads to Super GPT-4V TrustworthinessCode11
Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model ScalingCode11
Janus: Decoupling Visual Encoding for Unified Multimodal Understanding and GenerationCode11
SWIFT:A Scalable lightWeight Infrastructure for Fine-TuningCode11
CogVLM2: Visual Language Models for Image and Video UnderstandingCode9
Ferret-v2: An Improved Baseline for Referring and Grounding with Large Language ModelsCode9
DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal UnderstandingCode9
LLaVA-CoT: Let Vision Language Models Reason Step-by-StepCode7
MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language ModelsCode7
DeepSeek-VL: Towards Real-World Vision-Language UnderstandingCode7
mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language ModelsCode7
Mini-Gemini: Mining the Potential of Multi-modality Vision Language ModelsCode7
MoE-LLaVA: Mixture of Experts for Large Vision-Language ModelsCode7
Lumina-mGPT: Illuminate Flexible Photorealistic Text-to-Image Generation with Multimodal Generative PretrainingCode7
Chameleon: Mixed-Modal Early-Fusion Foundation ModelsCode7
SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language ModelsCode7
MiniGPT-v2: large language model as a unified interface for vision-language multi-task learningCode7
Visual Instruction TuningCode6
Improved Baselines with Visual Instruction TuningCode6
RLHF-V: Towards Trustworthy MLLMs via Behavior Alignment from Fine-grained Correctional Human FeedbackCode6
GPT-4 Technical ReportCode6
An Empirical Study of Scaling Instruct-Tuned Large Multimodal ModelsCode6
LLaMA-Adapter V2: Parameter-Efficient Visual Instruction ModelCode5
Show:102550
← PrevPage 1 of 88Next →

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