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Visual Question Answering

MLLM Leaderboard

Papers

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Showing 676–700 of 2177 papers

TitleStatusHype
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