SOTAVerified

Visual Question Answering

MLLM Leaderboard

Papers

Showing 126150 of 2177 papers

TitleStatusHype
AnyAnomaly: Zero-Shot Customizable Video Anomaly Detection with LVLMCode2
A Bounding Box is Worth One Token: Interleaving Layout and Text in a Large Language Model for Document UnderstandingCode2
Doe-1: Closed-Loop Autonomous Driving with Large World ModelCode2
MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual ContextsCode2
Med-Flamingo: a Multimodal Medical Few-shot LearnerCode2
Analyzing and Boosting the Power of Fine-Grained Visual Recognition for Multi-modal Large Language ModelsCode2
BLIVA: A Simple Multimodal LLM for Better Handling of Text-Rich Visual QuestionsCode2
BiomedGPT: A Generalist Vision-Language Foundation Model for Diverse Biomedical TasksCode2
Efficient Large Multi-modal Models via Visual Context CompressionCode2
BiMediX2: Bio-Medical EXpert LMM for Diverse Medical ModalitiesCode2
Deciphering Cross-Modal Alignment in Large Vision-Language Models with Modality Integration RateCode2
LLaVA-Plus: Learning to Use Tools for Creating Multimodal AgentsCode2
LLaVA-PruMerge: Adaptive Token Reduction for Efficient Large Multimodal ModelsCode2
LLMGA: Multimodal Large Language Model based Generation AssistantCode2
Beyond Text: Frozen Large Language Models in Visual Signal ComprehensionCode2
List Items One by One: A New Data Source and Learning Paradigm for Multimodal LLMsCode2
Large Continual Instruction AssistantCode2
LLaMA-VID: An Image is Worth 2 Tokens in Large Language ModelsCode2
Keeping Yourself is Important in Downstream Tuning Multimodal Large Language ModelCode2
LingoQA: Visual Question Answering for Autonomous DrivingCode2
CuMo: Scaling Multimodal LLM with Co-Upcycled Mixture-of-ExpertsCode2
LinVT: Empower Your Image-level Large Language Model to Understand VideosCode2
LOVA3: Learning to Visual Question Answering, Asking and AssessmentCode2
Aligning Modalities in Vision Large Language Models via Preference Fine-tuningCode2
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