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Visual Question Answering

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Papers

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Showing 1151–1200 of 2177 papers

TitleStatusHype
CREPE: Coordinate-Aware End-to-End Document Parser—0
Beyond Human Vision: The Role of Large Vision Language Models in Microscope Image Analysis—0
Multi-Page Document Visual Question Answering using Self-Attention Scoring MechanismCode0
Efficiency in Focus: LayerNorm as a Catalyst for Fine-tuning Medical Visual Language Pre-trained Models—0
How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites—0
Fusion of Domain-Adapted Vision and Language Models for Medical Visual Question Answering—0
Grounded Knowledge-Enhanced Medical VLP for Chest X-Ray—0
Wiki-LLaVA: Hierarchical Retrieval-Augmented Generation for Multimodal LLMs—0
Self-Bootstrapped Visual-Language Model for Knowledge Selection and Question AnsweringCode0
WangLab at MEDIQA-M3G 2024: Multimodal Medical Answer Generation using Large Language Models—0
Lost in Space: Probing Fine-grained Spatial Understanding in Vision and Language ResamplersCode0
Exploring Diverse Methods in Visual Question Answering—0
PDF-MVQA: A Dataset for Multimodal Information Retrieval in PDF-based Visual Question Answering—0
Look Before You Decide: Prompting Active Deduction of MLLMs for Assumptive Reasoning—0
TextSquare: Scaling up Text-Centric Visual Instruction Tuning—0
MedThink: Explaining Medical Visual Question Answering via Multimodal Decision-Making Rationale—0
Consistency and Uncertainty: Identifying Unreliable Responses From Black-Box Vision-Language Models for Selective Visual Question Answering—0
ViTextVQA: A Large-Scale Visual Question Answering Dataset for Evaluating Vietnamese Text Comprehension in ImagesCode0
Find The Gap: Knowledge Base Reasoning For Visual Question Answering—0
HOI-Ref: Hand-Object Interaction Referral in Egocentric Vision—0
Bridging Vision and Language Spaces with Assignment PredictionCode0
Language Models Meet Anomaly Detection for Better Interpretability and GeneralizabilityCode0
Learning to Localize Objects Improves Spatial Reasoning in Visual-LLMsCode0
InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HDCode0
OmniFusion Technical ReportCode0
HAMMR: HierArchical MultiModal React agents for generic VQA—0
Self-Training Large Language Models for Improved Visual Program Synthesis With Visual Reinforcement—0
Soft-Prompting with Graph-of-Thought for Multi-modal Representation LearningCode0
Joint Visual and Text Prompting for Improved Object-Centric Perception with Multimodal Large Language ModelsCode0
BuDDIE: A Business Document Dataset for Multi-task Information Extraction—0
TinyVQA: Compact Multimodal Deep Neural Network for Visual Question Answering on Resource-Constrained Devices—0
Enhancing Human-Computer Interaction in Chest X-ray Analysis using Vision and Language Model with Eye Gaze Patterns—0
Detect2Interact: Localizing Object Key Field in Visual Question Answering (VQA) with LLMs—0
Learning by Correction: Efficient Tuning Task for Zero-Shot Generative Vision-Language ReasoningCode0
Design as Desired: Utilizing Visual Question Answering for Multimodal Pre-trainingCode0
Uncovering Bias in Large Vision-Language Models with Counterfactuals—0
A Gaze-grounded Visual Question Answering Dataset for Clarifying Ambiguous Japanese Questions—0
Visual Hallucination: Definition, Quantification, and Prescriptive Remediations—0
Intrinsic Subgraph Generation for Interpretable Graph based Visual Question AnsweringCode0
Synthesize Step-by-Step: Tools, Templates and LLMs as Data Generators for Reasoning-Based Chart VQA—0
PropTest: Automatic Property Testing for Improved Visual Programming—0
Surgical-LVLM: Learning to Adapt Large Vision-Language Model for Grounded Visual Question Answering in Robotic Surgery—0
MyVLM: Personalizing VLMs for User-Specific Queries—0
VL-Mamba: Exploring State Space Models for Multimodal Learning—0
Improved Baselines for Data-efficient Perceptual Augmentation of LLMs—0
As Firm As Their Foundations: Can open-sourced foundation models be used to create adversarial examples for downstream tasks?—0
WoLF: Wide-scope Large Language Model Framework for CXR Understanding—0
FlexCap: Describe Anything in Images in Controllable Detail—0
Can LLMs Generate Human-Like Wayfinding Instructions? Towards Platform-Agnostic Embodied Instruction Synthesis—0
SpatialPIN: Enhancing Spatial Reasoning Capabilities of Vision-Language Models through Prompting and Interacting 3D Priors—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