SOTAVerified

Visual Question Answering

MLLM Leaderboard

Papers

Showing 15261550 of 2177 papers

TitleStatusHype
The meaning of "most" for visual question answering models0
The Meaning of ``Most'' for Visual Question Answering Models0
The Quest for Visual Understanding: A Journey Through the Evolution of Visual Question Answering0
The VQA-Machine: Learning How to Use Existing Vision Algorithms to Answer New Questions0
The Wisdom of MaSSeS: Majority, Subjectivity, and Semantic Similarity in the Evaluation of VQA0
TI-JEPA: An Innovative Energy-based Joint Embedding Strategy for Text-Image Multimodal Systems0
TinyDrive: Multiscale Visual Question Answering with Selective Token Routing for Autonomous Driving0
TinyVQA: Compact Multimodal Deep Neural Network for Visual Question Answering on Resource-Constrained Devices0
TM-PATHVQA:90000+ Textless Multilingual Questions for Medical Visual Question Answering0
TokenFocus-VQA: Enhancing Text-to-Image Alignment with Position-Aware Focus and Multi-Perspective Aggregations on LVLMs0
Toward 3D Spatial Reasoning for Human-like Text-based Visual Question Answering0
Toward Effective Reinforcement Learning Fine-Tuning for Medical VQA in Vision-Language Models0
Towards a Unified Model for Generating Answers and Explanations in Visual Question Answering0
Towards Automated Error Analysis: Learning to Characterize Errors0
Towards Causal VQA: Revealing and Reducing Spurious Correlations by Invariant and Covariant Semantic Editing0
Towards Complex Document Understanding By Discrete Reasoning0
Towards Developing a Multilingual and Code-Mixed Visual Question Answering System by Knowledge Distillation0
Towards Escaping from Language Bias and OCR Error: Semantics-Centered Text Visual Question Answering0
Towards General Purpose Vision Systems: An End-to-End Task-Agnostic Vision-Language Architecture0
Towards Grounded Visual Spatial Reasoning in Multi-Modal Vision Language Models0
Towards Human-Level Understanding of Complex Process Engineering Schematics: A Pedagogical, Introspective Multi-Agent Framework for Open-Domain Question Answering0
Towards Models that Can See and Read0
Towards Omnidirectional Reasoning with 360-R1: A Dataset, Benchmark, and GRPO-based Method0
Towards Reasoning-Aware Explainable VQA0
Towards Semantic Equivalence of Tokenization in Multimodal LLM0
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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