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Visual Question Answering

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TitleStatusHype
Question-Led Semantic Structure Enhanced Attentions for VQA—0
ViQuAE, a Dataset for Knowledge-based Visual Question Answering about Named EntitiesCode0
Document AI: Benchmarks, Models and Applications—0
Language bias in Visual Question Answering: A Survey and Taxonomy—0
Graph Relation Transformer: Incorporating pairwise object features into the Transformer architecture—0
Visual Question Answering based on Formal Logic—0
ViVQA: Vietnamese Visual Question AnsweringCode1
CrossVQA: Scalably Generating Benchmarks for Systematically Testing VQA Generalization—0
Diversity and Consistency: Exploring Visual Question-Answer Pair Generation—0
MIRTT: Learning Multimodal Interaction Representations from Trilinear Transformers for Visual Question AnsweringCode0
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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