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Visual Question Answering

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Papers

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Showing 101–150 of 2177 papers

TitleStatusHype
Probabilistic Embeddings for Frozen Vision-Language Models: Uncertainty Quantification with Gaussian Process Latent Variable ModelsCode0
SITE: towards Spatial Intelligence Thorough Evaluation—0
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
UniBiomed: A Universal Foundation Model for Grounded Biomedical Image InterpretationCode1
Calibrating Uncertainty Quantification of Multi-Modal LLMs using Grounding—0
ChestX-Reasoner: Advancing Radiology Foundation Models with Reasoning through Step-by-Step VerificationCode1
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
Benchmarking Multimodal Mathematical Reasoning with Explicit Visual DependencyCode1
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
VDocRAG: Retrieval-Augmented Generation over Visually-Rich Documents—0
Building Trustworthy Multimodal AI: A Review of Fairness, Transparency, and Ethics in Vision-Language Tasks—0
MMKB-RAG: A Multi-Modal Knowledge-Based Retrieval-Augmented Generation Framework—0
ReasonDrive: Efficient Visual Question Answering for Autonomous Vehicles with Reasoning-Enhanced Small Vision-Language ModelsCode1
A Survey on Efficient Vision-Language ModelsCode1
NoTeS-Bank: Benchmarking Neural Transcription and Search for Scientific Notes Understanding—0
AstroLLaVA: towards the unification of astronomical data and natural language—0
Data Metabolism: An Efficient Data Design Schema For Vision Language Model—0
Beyond the Frame: Generating 360° Panoramic Videos from Perspective Videos—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
Enhancing Compositional Reasoning in Vision-Language Models with Synthetic Preference DataCode0
RS-RAG: Bridging Remote Sensing Imagery and Comprehensive Knowledge with a Multi-Modal Dataset and Retrieval-Augmented Generation Model—0
MedM-VL: What Makes a Good Medical LVLM?Code2
Hierarchical Modeling for Medical Visual Question Answering with Cross-Attention Fusion—0
QIRL: Boosting Visual Question Answering via Optimized Question-Image Relation Learning—0
STING-BEE: Towards Vision-Language Model for Real-World X-ray Baggage Security InspectionCode1
SocialGesture: Delving into Multi-person Gesture Understanding—0
ILLUME+: Illuminating Unified MLLM with Dual Visual Tokenization and Diffusion RefinementCode2
GMAI-VL-R1: Harnessing Reinforcement Learning for Multimodal Medical ReasoningCode1
MPDrive: Improving Spatial Understanding with Marker-Based Prompt Learning for Autonomous Driving—0
SViQA: A Unified Speech-Vision Multimodal Model for Textless Visual Question Answering—0
FortisAVQA and MAVEN: a Benchmark Dataset and Debiasing Framework for Robust Multimodal ReasoningCode2
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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