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Visual Question Answering

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Papers

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Showing 1651–1700 of 2177 papers

TitleStatusHype
Separation of Powers: On Segregating Knowledge from Observation in LLM-enabled Knowledge-based Visual Question Answering—0
Is the House Ready For Sleeptime? Generating and Evaluating Situational Queries for Embodied Question Answering—0
Serving and Optimizing Machine Learning Workflows on Heterogeneous Infrastructures—0
Visual Superordinate Abstraction for Robust Concept Learning—0
3D Question Answering—0
Can Pre-training help VQA with Lexical Variations?—0
SHMamba: Structured Hyperbolic State Space Model for Audio-Visual Question Answering—0
Visual TTR - Modelling Visual Question Answering in Type Theory with Records—0
Can Open Domain Question Answering Systems Answer Visual Knowledge Questions?—0
Can Multimodal LLMs do Visual Temporal Understanding and Reasoning? The answer is No!—0
Show Why the Answer is Correct! Towards Explainable AI using Compositional Temporal Attention—0
ViT3D Alignment of LLaMA3: 3D Medical Image Report Generation—0
SILC: Improving Vision Language Pretraining with Self-Distillation—0
Silkie: Preference Distillation for Large Visual Language Models—0
Generating Question Relevant Captions to Aid Visual Question Answering—0
ViUniT: Visual Unit Tests for More Robust Visual Programming—0
Can LLMs Generate Human-Like Wayfinding Instructions? Towards Platform-Agnostic Embodied Instruction Synthesis—0
Adversarial Representation Learning for Text-to-Image Matching—0
Can Large Language Models Unveil the Mysteries? An Exploration of Their Ability to Unlock Information in Complex Scenarios—0
Simple is not Easy: A Simple Strong Baseline for TextVQA and TextCaps—0
SimpleLLM4AD: An End-to-End Vision-Language Model with Graph Visual Question Answering for Autonomous Driving—0
SimpleVQA: Multimodal Factuality Evaluation for Multimodal Large Language Models—0
SimpsonsVQA: Enhancing Inquiry-Based Learning with a Tailored Dataset—0
Can Common VLMs Rival Medical VLMs? Evaluation and Strategic Insights—0
SimVQA: Exploring Simulated Environments for Visual Question Answering—0
Single-Modal Entropy based Active Learning for Visual Question Answering—0
Adversarial Regularization for Visual Question Answering: Strengths, Shortcomings, and Side Effects—0
SITE: towards Spatial Intelligence Thorough Evaluation—0
Can CLIP Count Stars? An Empirical Study on Quantity Bias in CLIP—0
Calibrating Uncertainty Quantification of Multi-Modal LLMs using Grounding—0
CAD -- Contextual Multi-modal Alignment for Dynamic AVQA—0
Building Trustworthy Multimodal AI: A Review of Fairness, Transparency, and Ethics in Vision-Language Tasks—0
BuDDIE: A Business Document Dataset for Multi-task Information Extraction—0
3D-CT-GPT: Generating 3D Radiology Reports through Integration of Large Vision-Language Models—0
Small Language Model Meets with Reinforced Vision Vocabulary—0
SMMILE: An Expert-Driven Benchmark for Multimodal Medical In-Context Learning—0
Adversarial Multimodal Network for Movie Question Answering—0
SnapNTell: Enhancing Entity-Centric Visual Question Answering with Retrieval Augmented Multimodal LLM—0
SocialGesture: Delving into Multi-person Gesture Understanding—0
Bridging the Semantic Gaps: Improving Medical VQA Consistency with LLM-Augmented Question Sets—0
VL-BEiT: Generative Vision-Language Pretraining—0
Solution for SMART-101 Challenge of CVPR Multi-modal Algorithmic Reasoning Task 2024—0
Solution for SMART-101 Challenge of ICCV Multi-modal Algorithmic Reasoning Task 2023—0
Solving Visual Madlibs with Multiple Cues—0
Adversarial Attacks Beyond the Image Space—0
Sparks of Artificial General Intelligence(AGI) in Semiconductor Material Science: Early Explorations into the Next Frontier of Generative AI-Assisted Electron Micrograph Analysis—0
Adventurer's Treasure Hunt: A Transparent System for Visually Grounded Compositional Visual Question Answering based on Scene Graphs—0
Bridge Damage Cause Estimation Using Multiple Images Based on Visual Question Answering—0
VLFeedback: A Large-Scale AI Feedback Dataset for Large Vision-Language Models Alignment—0
Sparse Attention Vectors: Generative Multimodal Model Features Are Discriminative Vision-Language Classifiers—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