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Visual Question Answering

MLLM Leaderboard

Papers

Showing 251275 of 2177 papers

TitleStatusHype
Bilateral Cross-Modality Graph Matching Attention for Feature Fusion in Visual Question AnsweringCode1
JDocQA: Japanese Document Question Answering Dataset for Generative Language ModelsCode1
Dual-Key Multimodal Backdoors for Visual Question AnsweringCode1
Enhancing Vision-Language Pre-Training with Jointly Learned Questioner and Dense CaptionerCode1
Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical ReasoningCode1
Investigating Prompting Techniques for Zero- and Few-Shot Visual Question AnsweringCode1
Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question AnsweringCode1
Are Bias Mitigation Techniques for Deep Learning Effective?Code1
Just Ask: Learning to Answer Questions from Millions of Narrated VideosCode1
Language Guided Visual Question Answering: Elevate Your Multimodal Language Model Using Knowledge-Enriched PromptsCode1
Learning to Answer Visual Questions from Web VideosCode1
Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset BiasesCode1
Beyond Embeddings: The Promise of Visual Table in Visual ReasoningCode1
Inst-IT: Boosting Multimodal Instance Understanding via Explicit Visual Prompt Instruction TuningCode1
Does Vision-and-Language Pretraining Improve Lexical Grounding?Code1
In Defense of Grid Features for Visual Question AnsweringCode1
INF-LLaVA: Dual-perspective Perception for High-Resolution Multimodal Large Language ModelCode1
DocVQA: A Dataset for VQA on Document ImagesCode1
Advancing High Resolution Vision-Language Models in BiomedicineCode1
InfMLLM: A Unified Framework for Visual-Language TasksCode1
InstructionGPT-4: A 200-Instruction Paradigm for Fine-Tuning MiniGPT-4Code1
Distilled Dual-Encoder Model for Vision-Language UnderstandingCode1
Benchmarking Retrieval-Augmented Multimomal Generation for Document Question AnsweringCode1
ADEM-VL: Adaptive and Embedded Fusion for Efficient Vision-Language TuningCode1
Disentangling 3D Prototypical Networks For Few-Shot Concept LearningCode1
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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