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Visual Question Answering

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Papers

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Showing 1226–1250 of 2177 papers

TitleStatusHype
CommVQA: Situating Visual Question Answering in Communicative ContextsCode0
Modality-Aware Integration with Large Language Models for Knowledge-based Visual Question Answering—0
Exploring the Frontier of Vision-Language Models: A Survey of Current Methodologies and Future Directions—0
Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models—0
Vision-Flan: Scaling Human-Labeled Tasks in Visual Instruction Tuning—0
II-MMR: Identifying and Improving Multi-modal Multi-hop Reasoning in Visual Question AnsweringCode0
PaLM2-VAdapter: Progressively Aligned Language Model Makes a Strong Vision-language Adapter—0
VQAttack: Transferable Adversarial Attacks on Visual Question Answering via Pre-trained Models—0
Prompt-based Personalized Federated Learning for Medical Visual Question Answering—0
Pretraining Vision-Language Model for Difference Visual Question Answering in Longitudinal Chest X-raysCode0
Visually Dehallucinative Instruction GenerationCode0
Visual Question Answering Instruction: Unlocking Multimodal Large Language Model To Domain-Specific Visual Multitasks—0
Learning How To Ask: Cycle-Consistency Refines Prompts in Multimodal Foundation Models—0
Synthesizing Sentiment-Controlled Feedback For Multimodal Text and Image DataCode0
PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs—0
CIC: A Framework for Culturally-Aware Image Captioning—0
Examining Gender and Racial Bias in Large Vision-Language Models Using a Novel Dataset of Parallel ImagesCode0
Convincing Rationales for Visual Question Answering ReasoningCode0
Knowledge Generation for Zero-shot Knowledge-based VQACode0
Instruction Makes a DifferenceCode0
Can Generative AI Support Patients' & Caregivers' Informational Needs? Towards Task-Centric Evaluation Of AI Systems—0
From Training-Free to Adaptive: Empirical Insights into MLLMs' Understanding of Detection Information—0
InternLM-XComposer2: Mastering Free-form Text-Image Composition and Comprehension in Vision-Language Large Model—0
Muffin or Chihuahua? Challenging Multimodal Large Language Models with Multipanel VQA—0
LCV2: An Efficient Pretraining-Free Framework for Grounded 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