SOTAVerified

Visual Question Answering

MLLM Leaderboard

Papers

Showing 151175 of 2177 papers

TitleStatusHype
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
Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction TuningCode2
Large Continual Instruction AssistantCode2
LingoQA: Visual Question Answering for Autonomous DrivingCode2
LinVT: Empower Your Image-level Large Language Model to Understand VideosCode2
LLaVA-Plus: Learning to Use Tools for Creating Multimodal AgentsCode2
JourneyDB: A Benchmark for Generative Image UnderstandingCode2
Augmenting Multimodal LLMs with Self-Reflective Tokens for Knowledge-based Visual Question AnsweringCode2
A Simple Aerial Detection Baseline of Multimodal Language ModelsCode2
Keeping Yourself is Important in Downstream Tuning Multimodal Large Language ModelCode2
Imp: Highly Capable Large Multimodal Models for Mobile DevicesCode2
MC-LLaVA: Multi-Concept Personalized Vision-Language ModelCode2
MC-LLaVA: Multi-Concept Personalized Vision-Language ModelCode2
Med3DVLM: An Efficient Vision-Language Model for 3D Medical Image AnalysisCode2
ConvLLaVA: Hierarchical Backbones as Visual Encoder for Large Multimodal ModelsCode2
CoLLaVO: Crayon Large Language and Vision mOdelCode2
ILLUME+: Illuminating Unified MLLM with Dual Visual Tokenization and Diffusion RefinementCode2
MedPromptX: Grounded Multimodal Prompting for Chest X-ray DiagnosisCode2
InstructBLIP: Towards General-purpose Vision-Language Models with Instruction TuningCode2
LLaVA-PruMerge: Adaptive Token Reduction for Efficient Large Multimodal ModelsCode2
GPT4RoI: Instruction Tuning Large Language Model on Region-of-InterestCode2
CAT: Enhancing Multimodal Large Language Model to Answer Questions in Dynamic Audio-Visual ScenariosCode2
GMAI-MMBench: A Comprehensive Multimodal Evaluation Benchmark Towards General Medical AICode2
GeReA: Question-Aware Prompt Captions for Knowledge-based Visual Question AnsweringCode2
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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