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Visual Question Answering

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Papers

Showing 151200 of 2177 papers

TitleStatusHype
RS-Agent: Automating Remote Sensing Tasks through Intelligent AgentCode2
From Redundancy to Relevance: Information Flow in LVLMs Across Reasoning TasksCode2
Dragonfly: Multi-Resolution Zoom-In Encoding Enhances Vision-Language ModelsCode2
Enhancing Large Vision Language Models with Self-Training on Image ComprehensionCode2
ConvLLaVA: Hierarchical Backbones as Visual Encoder for Large Multimodal ModelsCode2
Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-ImprovementCode2
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision ModelsCode2
Calibrated Self-Rewarding Vision Language ModelsCode2
LOVA3: Learning to Visual Question Answering, Asking and AssessmentCode2
Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer ModelsCode2
Imp: Highly Capable Large Multimodal Models for Mobile DevicesCode2
MTVQA: Benchmarking Multilingual Text-Centric Visual Question AnsweringCode2
Xmodel-VLM: A Simple Baseline for Multimodal Vision Language ModelCode2
CuMo: Scaling Multimodal LLM with Co-Upcycled Mixture-of-ExpertsCode2
List Items One by One: A New Data Source and Learning Paradigm for Multimodal LLMsCode2
GSCo: Towards Generalizable AI in Medicine via Generalist-Specialist CollaborationCode2
Self-Supervised Visual Preference AlignmentCode2
VHM: Versatile and Honest Vision Language Model for Remote Sensing Image AnalysisCode2
Unsolvable Problem Detection: Evaluating Trustworthiness of Vision Language ModelsCode2
Multi-Frame, Lightweight & Efficient Vision-Language Models for Question Answering in Autonomous DrivingCode2
LLaVA-PruMerge: Adaptive Token Reduction for Efficient Large Multimodal ModelsCode2
MedPromptX: Grounded Multimodal Prompting for Chest X-ray DiagnosisCode2
Chain-of-Spot: Interactive Reasoning Improves Large Vision-Language ModelsCode2
VL-ICL Bench: The Devil in the Details of Multimodal In-Context LearningCode2
Beyond Text: Frozen Large Language Models in Visual Signal ComprehensionCode2
CAT: Enhancing Multimodal Large Language Model to Answer Questions in Dynamic Audio-Visual ScenariosCode2
Are Language Models Puzzle Prodigies? Algorithmic Puzzles Unveil Serious Challenges in Multimodal ReasoningCode2
Aligning Modalities in Vision Large Language Models via Preference Fine-tuningCode2
CoLLaVO: Crayon Large Language and Vision mOdelCode2
GeReA: Question-Aware Prompt Captions for Knowledge-based Visual Question AnsweringCode2
MouSi: Poly-Visual-Expert Vision-Language ModelsCode2
PeFoMed: Parameter Efficient Fine-tuning of Multimodal Large Language Models for Medical ImagingCode2
LingoQA: Visual Question Answering for Autonomous DrivingCode2
V*: Guided Visual Search as a Core Mechanism in Multimodal LLMsCode2
VCoder: Versatile Vision Encoders for Multimodal Large Language ModelsCode2
OneLLM: One Framework to Align All Modalities with LanguageCode2
LLaMA-VID: An Image is Worth 2 Tokens in Large Language ModelsCode2
LLMGA: Multimodal Large Language Model based Generation AssistantCode2
GeoChat: Grounded Large Vision-Language Model for Remote SensingCode2
To See is to Believe: Prompting GPT-4V for Better Visual Instruction TuningCode2
LLaVA-Plus: Learning to Use Tools for Creating Multimodal AgentsCode2
Frozen Transformers in Language Models Are Effective Visual Encoder LayersCode2
From CLIP to DINO: Visual Encoders Shout in Multi-modal Large Language ModelsCode2
MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual ContextsCode2
Fine-grained Late-interaction Multi-modal Retrieval for Retrieval Augmented Visual Question AnsweringCode2
DreamLLM: Synergistic Multimodal Comprehension and CreationCode2
BLIVA: A Simple Multimodal LLM for Better Handling of Text-Rich Visual QuestionsCode2
TeCH: Text-guided Reconstruction of Lifelike Clothed HumansCode2
Towards Generalist Foundation Model for Radiology by Leveraging Web-scale 2D&3D Medical DataCode2
RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic ControlCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MMCTAgent (GPT-4 + GPT-4V)GPT-4 score74.24Unverified
2Qwen2-VL-72BGPT-4 score74Unverified
3InternVL2.5-78BGPT-4 score72.3Unverified
4GPT-4o +text rationale +IoTGPT-4 score72.2Unverified
5Lyra-ProGPT-4 score71.4Unverified
6GLM-4V-PlusGPT-4 score71.1Unverified
7Phantom-7BGPT-4 score70.8Unverified
8InternVL2.5-38BGPT-4 score68.8Unverified
9InternVL2-26B (SGP, token ratio 64%)GPT-4 score65.6Unverified
10Baichuan-Omni (7B)GPT-4 score65.4Unverified