SOTAVerified

Visual Question Answering

MLLM Leaderboard

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1401–1450 of 2177 papers

TitleStatusHype
Curriculum Script Distillation for Multilingual Visual Question Answering—0
ParsVQA-Caps: A Benchmark for Visual Question Answering and Image Captioning in Persian—0
Curriculum Learning for Compositional Visual Reasoning—0
Patch-level Sounding Object Tracking for Audio-Visual Question Answering—0
A Gaze-grounded Visual Question Answering Dataset for Clarifying Ambiguous Japanese Questions—0
Pathological Visual Question Answering—0
Curriculum Learning Effectively Improves Low Data VQA—0
CTRL-O: Language-Controllable Object-Centric Visual Representation Learning—0
PAT: Parallel Attention Transformer for Visual Question Answering in Vietnamese—0
CT-Agent: A Multimodal-LLM Agent for 3D CT Radiology Question Answering—0
PDF-MVQA: A Dataset for Multimodal Information Retrieval in PDF-based Visual Question Answering—0
PDFVQA: A New Dataset for Real-World VQA on PDF Documents—0
PEBench: A Fictitious Dataset to Benchmark Machine Unlearning for Multimodal Large Language Models—0
CS-VQA: Visual Question Answering with Compressively Sensed Images—0
CrossVQA: Scalably Generating Benchmarks for Systematically Testing VQA Generalization—0
A Free Lunch in Generating Datasets: Building a VQG and VQA System with Attention and Humans in the Loop—0
Performance Analysis of Traditional VQA Models Under Limited Computational Resources—0
Parameter Efficient Reinforcement Learning from Human Feedback—0
Cross-Modal Safety Mechanism Transfer in Large Vision-Language Models—0
PhyBlock: A Progressive Benchmark for Physical Understanding and Planning via 3D Block Assembly—0
Physically Grounded Vision-Language Models for Robotic Manipulation—0
PiggyBack: Pretrained Visual Question Answering Environment for Backing up Non-deep Learning Professionals—0
Cross-Modal Retrieval Augmentation for Multi-Modal Classification—0
Why Does a Visual Question Have Different Answers?—0
PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs—0
Cross-modal Knowledge Reasoning for Knowledge-based Visual Question Answering—0
Cross-Modal Generative Augmentation for Visual Question Answering—0
A Focused Dynamic Attention Model for Visual Question Answering—0
Playing Lottery Tickets with Vision and Language—0
Crossformer: Transformer with Alternated Cross-Layer Guidance—0
Why Does the VQA Model Answer No?: Improving Reasoning through Visual and Linguistic Inference—0
Cross-Dataset Adaptation for Visual Question Answering—0
CROME: Cross-Modal Adapters for Efficient Multimodal LLM—0
POINTS: Improving Your Vision-language Model with Affordable Strategies—0
Polar-VQA: Visual Question Answering on Remote Sensed Ice sheet Imagery from Polar Region—0
CREPE: Coordinate-Aware End-to-End Document Parser—0
Does CLIP Benefit Visual Question Answering in the Medical Domain as Much as it Does in the General Domain?—0
Precision Empowers, Excess Distracts: Visual Question Answering With Dynamically Infused Knowledge In Language Models—0
CQ-VQA: Visual Question Answering on Categorized Questions—0
Predicting Relative Depth between Objects from Semantic Features—0
CPL: Counterfactual Prompt Learning for Vision and Language Models—0
PreSTU: Pre-Training for Scene-Text Understanding—0
Pre-training image-language transformers for open-vocabulary tasks—0
Wiki-LLaVA: Hierarchical Retrieval-Augmented Generation for Multimodal LLMs—0
A Fast, Reliable, and Secure Programming Language for LLM Agents with Code Actions—0
CPath-Omni: A Unified Multimodal Foundation Model for Patch and Whole Slide Image Analysis in Computational Pathology—0
Co-VQA : Answering by Interactive Sub Question Sequence—0
Privacy Preserving Visual Question Answering—0
Aesthetic Visual Question Answering of Photographs—0
Probabilistic Neural-symbolic Models for Interpretable Visual Question Answering—0
Show:102550
← PrevPage 29 of 44Next →
All datasetsMM-VetViP-BenchVQA v2 test-devBenchLMMMMBenchV*benchVQA v2 valMSRVTT-QAVQA v2 test-stdMMHal-BenchMSVD-QAPlotQA-D1

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MMCTAgent (GPT-4 + GPT-4V)GPT-4 score74.24—Unverified
2Qwen2-VL-72BGPT-4 score74—Unverified
3InternVL2.5-78BGPT-4 score72.3—Unverified
4GPT-4o +text rationale +IoTGPT-4 score72.2—Unverified
5Lyra-ProGPT-4 score71.4—Unverified
6GLM-4V-PlusGPT-4 score71.1—Unverified
7Phantom-7BGPT-4 score70.8—Unverified
8InternVL2.5-38BGPT-4 score68.8—Unverified
9InternVL2-26B (SGP, token ratio 64%)GPT-4 score65.6—Unverified
10Baichuan-Omni (7B)GPT-4 score65.4—Unverified