SOTAVerified

Visual Question Answering

MLLM Leaderboard

Papers

Showing 651675 of 2177 papers

TitleStatusHype
PhyBlock: A Progressive Benchmark for Physical Understanding and Planning via 3D Block Assembly0
HAIBU-ReMUD: Reasoning Multimodal Ultrasound Dataset and Model Bridging to General Specific DomainsCode0
Hallucination at a Glance: Controlled Visual Edits and Fine-Grained Multimodal Learning0
Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning0
Meta-Adaptive Prompt Distillation for Few-Shot Visual Question Answering0
Ontology-based knowledge representation for bone disease diagnosis: a foundation for safe and sustainable medical artificial intelligence systems0
TextVidBench: A Benchmark for Long Video Scene Text Understanding0
ReXVQA: A Large-scale Visual Question Answering Benchmark for Generalist Chest X-ray Understanding0
Learning Sparsity for Effective and Efficient Music Performance Question Answering0
Hanfu-Bench: A Multimodal Benchmark on Cross-Temporal Cultural Understanding and Transcreation0
Fast or Slow? Integrating Fast Intuition and Deliberate Thinking for Enhancing Visual Question Answering0
MedOrch: Medical Diagnosis with Tool-Augmented Reasoning Agents for Flexible Extensibility0
Light as Deception: GPT-driven Natural Relighting Against Vision-Language Pre-training Models0
Vision LLMs Are Bad at Hierarchical Visual Understanding, and LLMs Are the Bottleneck0
Multi-Sourced Compositional Generalization in Visual Question AnsweringCode0
Synthetic Document Question Answering in HungarianCode0
QLIP: A Dynamic Quadtree Vision Prior Enhances MLLM Performance Without RetrainingCode0
mRAG: Elucidating the Design Space of Multi-modal Retrieval-Augmented Generation0
NegVQA: Can Vision Language Models Understand Negation?0
Music's Multimodal Complexity in AVQA: Why We Need More than General Multimodal LLMsCode0
FRAMES-VQA: Benchmarking Fine-Tuning Robustness across Multi-Modal Shifts in Visual Question AnsweringCode0
Benchmarking Large Multimodal Models for Ophthalmic Visual Question Answering with OphthalWeChat0
MM-Prompt: Cross-Modal Prompt Tuning for Continual Visual Question AnsweringCode0
GC-KBVQA: A New Four-Stage Framework for Enhancing Knowledge Based Visual Question Answering Performance0
CXReasonBench: A Benchmark for Evaluating Structured Diagnostic Reasoning in Chest X-raysCode0
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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