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Visual Question Answering

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Showing 651–700 of 2177 papers

TitleStatusHype
Improved Alignment of Modalities in Large Vision Language Models—0
Domain Adaptation of VLM for Soccer Video Understanding—0
Do Explanations make VQA Models more Predictable to a Human?—0
Adversarial Regularization for Visual Question Answering: Strengths, Shortcomings, and Side Effects—0
Improved Baselines for Data-efficient Perceptual Augmentation of LLMs—0
Does Object Grounding Really Reduce Hallucination of Large Vision-Language Models?—0
Does my multimodal model learn cross-modal interactions? It's harder to tell than you might think!—0
Boosting Cross-task Transferability of Adversarial Patches with Visual Relations—0
Answer-Me: Multi-Task Open-Vocabulary Visual Question Answering—0
BOK-VQA: Bilingual outside Knowledge-Based Visual Question Answering via Graph Representation Pretraining—0
Document Visual Question Answering Challenge 2020—0
Document Collection Visual Question Answering—0
Blocks as Probes: Dissecting Categorization Ability of Large Multimodal Models—0
Improved Bilinear Pooling with CNNs—0
Improving Users' Mental Model with Attention-directed Counterfactual Edits—0
Document AI: Benchmarks, Models and Applications—0
A Cognitive Evaluation Benchmark of Image Reasoning and Description for Large Vision-Language Models—0
Image Semantic Relation Generation—0
DLIP: Distilling Language-Image Pre-training—0
Generating Question Relevant Captions to Aid Visual Question Answering—0
ImageTTR: Grounding Type Theory with Records in Image Classification for Visual Question Answering—0
Diversity and Consistency: Exploring Visual Question-Answer Pair Generation—0
Diversifying Joint Vision-Language Tokenization Learning—0
DistilDoc: Knowledge Distillation for Visually-Rich Document Applications—0
Adversarial Attacks Beyond the Image Space—0
Img-Diff: Contrastive Data Synthesis for Multimodal Large Language Models—0
Disentangling Knowledge-based and Visual Reasoning by Question Decomposition in KB-VQA—0
Adventurer's Treasure Hunt: A Transparent System for Visually Grounded Compositional Visual Question Answering based on Scene Graphs—0
Image Captioning with Compositional Neural Module Networks—0
Answer-checking in Context: A Multi-modal FullyAttention Network for Visual Question Answering—0
Image Manipulation via Multi-Hop Instructions -- A New Dataset and Weakly-Supervised Neuro-Symbolic Approach—0
Image-of-Thought Prompting for Visual Reasoning Refinement in Multimodal Large Language Models—0
Discovering Pathology Rationale and Token Allocation for Efficient Multimodal Pathology Reasoning—0
Directional Gradient Projection for Robust Fine-Tuning of Foundation Models—0
DiN: Diffusion Model for Robust Medical VQA with Semantic Noisy Labels—0
A Novel Framework for Robustness Analysis of Visual QA Models—0
Image Captioning and Visual Question Answering Based on Attributes and External Knowledge—0
Image Position Prediction in Multimodal Documents—0
ILLUME: Illuminating Your LLMs to See, Draw, and Self-Enhance—0
Beyond VQA: Generating Multi-word Answer and Rationale to Visual Questions—0
Differentiable End-to-End Program Executor for Sample and Computationally Efficient VQA—0
A Novel Attention-based Aggregation Function to Combine Vision and Language—0
Beyond the Hype: A dispassionate look at vision-language models in medical scenario—0
Advancing Surgical VQA with Scene Graph Knowledge—0
Detection-based Intermediate Supervision for Visual Question Answering—0
Beyond the Frame: Generating 360° Panoramic Videos from Perspective Videos—0
An Open-Source Software Toolkit & Benchmark Suite for the Evaluation and Adaptation of Multimodal Action Models—0
CLIPPO: Image-and-Language Understanding from Pixels Only—0
Detecting and Evaluating Medical Hallucinations in Large Vision Language Models—0
Detect, Describe, Discriminate: Moving Beyond VQA for MLLM Evaluation—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