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Visual Question Answering

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Papers

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Showing 1701–1725 of 2177 papers

TitleStatusHype
Why Does the VQA Model Answer No?: Improving Reasoning through Visual and Linguistic Inference—0
Wiki-LLaVA: Hierarchical Retrieval-Augmented Generation for Multimodal LLMs—0
WoLF: Wide-scope Large Language Model Framework for CXR Understanding—0
xGQA: Cross-Lingual Visual Question Answering—0
Yin and Yang: Balancing and Answering Binary Visual Questions—0
YouMakeup: A Large-Scale Domain-Specific Multimodal Dataset for Fine-Grained Semantic Comprehension—0
ZALM3: Zero-Shot Enhancement of Vision-Language Alignment via In-Context Information in Multi-Turn Multimodal Medical Dialogue—0
Zero-shot Action Localization via the Confidence of Large Vision-Language Models—0
Zero-Shot Anomaly Detection in Battery Thermal Images Using Visual Question Answering with Prior Knowledge—0
Zero-Shot Transfer VQA Dataset—0
Zero-Shot Visual Question Answering—0
Zero-Shot Visual Reasoning by Vision-Language Models: Benchmarking and Analysis—0
Ziya-Visual: Bilingual Large Vision-Language Model via Multi-Task Instruction Tuning—0
Natural Language Understanding and Inference with MLLM in Visual Question Answering: A Survey—0
Natural Reflection Backdoor Attack on Vision Language Model for Autonomous Driving—0
Negative Object Presence Evaluation (NOPE) to Measure Object Hallucination in Vision-Language Models—0
Neglected Risks: The Disturbing Reality of Children's Images in Datasets and the Urgent Call for Accountability—0
NegVQA: Can Vision Language Models Understand Negation?—0
Neural Attention Models for Sequence Classification: Analysis and Application to Key Term Extraction and Dialogue Act Detection—0
Neural Memory Plasticity for Anomaly Detection—0
Neural Self Talk: Image Understanding via Continuous Questioning and Answering—0
NeurIPS 2023 Competition: Privacy Preserving Federated Learning Document VQA—0
Neuro-Symbolic Spatio-Temporal Reasoning—0
Neuro-Symbolic Visual Reasoning: Disentangling "Visual" from "Reasoning"—0
Neuro-Symbolic VQA: A review from the perspective of AGI desiderata—0
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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