SOTAVerified

Visual Question Answering

MLLM Leaderboard

Papers

Showing 326350 of 2177 papers

TitleStatusHype
Language Repository for Long Video UnderstandingCode1
HyperLLaVA: Dynamic Visual and Language Expert Tuning for Multimodal Large Language ModelsCode1
SQ-LLaVA: Self-Questioning for Large Vision-Language AssistantCode1
Can We Talk Models Into Seeing the World Differently?Code1
Multi-modal Auto-regressive Modeling via Visual WordsCode1
Bridging the Gap between 2D and 3D Visual Question Answering: A Fusion Approach for 3D VQACode1
Uncertainty-Aware Evaluation for Vision-Language ModelsCode1
Visual Hallucinations of Multi-modal Large Language ModelsCode1
Cognitive Visual-Language Mapper: Advancing Multimodal Comprehension with Enhanced Visual Knowledge AlignmentCode1
Multi-modal Preference Alignment Remedies Degradation of Visual Instruction Tuning on Language ModelsCode1
Open-ended VQA benchmarking of Vision-Language models by exploiting Classification datasets and their semantic hierarchyCode1
Gemini Goes to Med School: Exploring the Capabilities of Multimodal Large Language Models on Medical Challenge Problems & HallucinationsCode1
Text-Guided Image ClusteringCode1
Q&A Prompts: Discovering Rich Visual Clues through Mining Question-Answer Prompts for VQA requiring Diverse World KnowledgeCode1
Veagle: Advancements in Multimodal Representation LearningCode1
Question-Answer Cross Language Image Matching for Weakly Supervised Semantic SegmentationCode1
Cross-modal Retrieval for Knowledge-based Visual Question AnsweringCode1
MISS: A Generative Pretraining and Finetuning Approach for Med-VQACode1
CaMML: Context-Aware Multimodal Learner for Large ModelsCode1
InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic TasksCode1
EarthVQA: Towards Queryable Earth via Relational Reasoning-Based Remote Sensing Visual Question AnsweringCode1
Gemini: A Family of Highly Capable Multimodal ModelsCode1
HAAR: Text-Conditioned Generative Model of 3D Strand-based Human HairstylesCode1
Privacy-Aware Document Visual Question AnsweringCode1
WordScape: a Pipeline to extract multilingual, visually rich Documents with Layout Annotations from Web Crawl DataCode1
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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