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Visual Question Answering

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Showing 1751–1775 of 2177 papers

TitleStatusHype
Synthesize Step-by-Step: Tools Templates and LLMs as Data Generators for Reasoning-Based Chart VQA—0
VLMAE: Vision-Language Masked Autoencoder—0
VL-Mamba: Exploring State Space Models for Multimodal Learning—0
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts—0
VLM-Assisted Continual learning for Visual Question Answering in Self-Driving—0
Benchmarking Vision Language Models for Cultural Understanding—0
Benchmarking Large Multimodal Models for Ophthalmic Visual Question Answering with OphthalWeChat—0
VLR-Bench: Multilingual Benchmark Dataset for Vision-Language Retrieval Augmented Generation—0
EVJVQA Challenge: Multilingual Visual Question Answering—0
Advancing Medical Imaging with Language Models: A Journey from N-grams to ChatGPT—0
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
Task-Oriented Feature Compression for Multimodal Understanding via Device-Edge Co-Inference—0
Being Negative but Constructively: Lessons Learnt from Creating Better Visual Question Answering Datasets—0
Task-Oriented Multi-User Semantic Communications—0
Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks—0
Task Progressive Curriculum Learning for Robust Visual Question Answering—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