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Visual Question Answering

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Papers

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Showing 701–750 of 2177 papers

TitleStatusHype
Multi-Modal Explainable Medical AI Assistant for Trustworthy Human-AI Collaboration—0
OMGM: Orchestrate Multiple Granularities and Modalities for Efficient Multimodal Retrieval—0
Natural Reflection Backdoor Attack on Vision Language Model for Autonomous Driving—0
SITE: towards Spatial Intelligence Thorough Evaluation—0
Probabilistic Embeddings for Frozen Vision-Language Models: Uncertainty Quantification with Gaussian Process Latent Variable ModelsCode0
Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks—0
Structure Causal Models and LLMs Integration in Medical Visual Question Answering—0
Sim2Real Transfer for Vision-Based Grasp VerificationCode0
Compositional Image-Text Matching and Retrieval by Grounding EntitiesCode0
Adaptive Token Boundaries: Integrating Human Chunking Mechanisms into Multimodal LLMs—0
Knowledge-Augmented Language Models Interpreting Structured Chest X-Ray Findings—0
Grounding Task Assistance with Multimodal Cues from a Single Demonstration—0
Transferable Adversarial Attacks on Black-Box Vision-Language Models—0
AdCare-VLM: Leveraging Large Vision Language Model (LVLM) to Monitor Long-Term Medication Adherence and CareCode0
Unlearning Sensitive Information in Multimodal LLMs: Benchmark and Attack-Defense EvaluationCode0
Calibrating Uncertainty Quantification of Multi-Modal LLMs using Grounding—0
LMME3DHF: Benchmarking and Evaluating Multimodal 3D Human Face Generation with LMMs—0
SpatialReasoner: Towards Explicit and Generalizable 3D Spatial Reasoning—0
Data-Driven Calibration of Prediction Sets in Large Vision-Language Models Based on Inductive Conformal Prediction—0
TraveLLaMA: Facilitating Multi-modal Large Language Models to Understand Urban Scenes and Provide Travel Assistance—0
Are Vision LLMs Road-Ready? A Comprehensive Benchmark for Safety-Critical Driving Video UnderstandingCode0
Neglected Risks: The Disturbing Reality of Children's Images in Datasets and the Urgent Call for Accountability—0
Hadamard product in deep learning: Introduction, Advances and Challenges—0
Bridging the Semantic Gaps: Improving Medical VQA Consistency with LLM-Augmented Question Sets—0
Instruction-augmented Multimodal Alignment for Image-Text and Element Matching—0
QAVA: Query-Agnostic Visual Attack to Large Vision-Language ModelsCode0
LVLM_CSP: Accelerating Large Vision Language Models via Clustering, Scattering, and Pruning for Reasoning Segmentation—0
Building Trustworthy Multimodal AI: A Review of Fairness, Transparency, and Ethics in Vision-Language Tasks—0
VDocRAG: Retrieval-Augmented Generation over Visually-Rich Documents—0
MMKB-RAG: A Multi-Modal Knowledge-Based Retrieval-Augmented Generation Framework—0
NoTeS-Bank: Benchmarking Neural Transcription and Search for Scientific Notes Understanding—0
AstroLLaVA: towards the unification of astronomical data and natural language—0
Beyond the Frame: Generating 360° Panoramic Videos from Perspective Videos—0
Data Metabolism: An Efficient Data Design Schema For Vision Language Model—0
TokenFocus-VQA: Enhancing Text-to-Image Alignment with Position-Aware Focus and Multi-Perspective Aggregations on LVLMs—0
Resource-efficient Inference with Foundation Model ProgramsCode0
RS-RAG: Bridging Remote Sensing Imagery and Comprehensive Knowledge with a Multi-Modal Dataset and Retrieval-Augmented Generation Model—0
Enhancing Compositional Reasoning in Vision-Language Models with Synthetic Preference DataCode0
Hierarchical Modeling for Medical Visual Question Answering with Cross-Attention Fusion—0
QIRL: Boosting Visual Question Answering via Optimized Question-Image Relation Learning—0
SocialGesture: Delving into Multi-person Gesture Understanding—0
SViQA: A Unified Speech-Vision Multimodal Model for Textless Visual Question Answering—0
MPDrive: Improving Spatial Understanding with Marker-Based Prompt Learning for Autonomous Driving—0
KOFFVQA: An Objectively Evaluated Free-form VQA Benchmark for Large Vision-Language Models in the Korean LanguageCode0
How Well Can Vison-Language Models Understand Humans' Intention? An Open-ended Theory of Mind Question Evaluation Benchmark—0
JEEM: Vision-Language Understanding in Four Arabic Dialects—0
CTRL-O: Language-Controllable Object-Centric Visual Representation Learning—0
Vision-Amplified Semantic Entropy for Hallucination Detection in Medical Visual Question Answering—0
Instruction-Oriented Preference Alignment for Enhancing Multi-Modal Comprehension Capability of MLLMs—0
Feature4X: Bridging Any Monocular Video to 4D Agentic AI with Versatile Gaussian Feature Fields—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