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Visual Question Answering

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Showing 1761–1770 of 2177 papers

TitleStatusHype
Tackling VQA with Pretrained Foundation Models without Further Training—0
@Bench: Benchmarking Vision-Language Models for Human-centered Assistive Technology—0
Take A Step Back: Rethinking the Two Stages in Visual Reasoning—0
Taking a HINT: Leveraging Explanations to Make Vision and Language Models More Grounded—0
Talking to the brain: Using Large Language Models as Proxies to Model Brain Semantic Representation—0
A dataset of clinically generated visual questions and answers about radiology images—0
VolDoGer: LLM-assisted Datasets for Domain Generalization in Vision-Language Tasks—0
Task-driven Visual Saliency and Attention-based Visual Question Answering—0
Task Formulation Matters When Learning Continuously: A Case Study in Visual Question Answering—0
Adaptive Token Boundaries: Integrating Human Chunking Mechanisms into Multimodal LLMs—0
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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