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MME

MME is a comprehensive evaluation benchmark for multimodal large language models. It measures both perception and cognition abilities on a total of 14 subtasks, including existence, count, position, color, poster, celebrity, scene, landmark, artwork, OCR, commonsense reasoning, numerical calculation, text translation, and code reasoning.

Papers

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Showing 76–95 of 95 papers

TitleStatusHype
MME-CRS: Multi-Metric Evaluation Based on Correlation Re-Scaling for Evaluating Open-Domain Dialogue—0
MME-Finance: A Multimodal Finance Benchmark for Expert-level Understanding and Reasoning—0
MME-Industry: A Cross-Industry Multimodal Evaluation Benchmark—0
MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans?—0
MME-Reasoning: A Comprehensive Benchmark for Logical Reasoning in MLLMs—0
MME-Unify: A Comprehensive Benchmark for Unified Multimodal Understanding and Generation Models—0
Multi-Modal Evaluation Approach for Medical Image Segmentation—0
Ultra-High-Frequency Harmony: mmWave Radar and Event Camera Orchestrate Accurate Drone Landing—0
Visual Instruction Tuning with Chain of Region-of-Interest—0
VISTA: Enhancing Vision-Text Alignment in MLLMs via Cross-Modal Mutual Information Maximization—0
TUBench: Benchmarking Large Vision-Language Models on Trustworthiness with Unanswerable QuestionsCode0
Decoding Multilingual Moral Preferences: Unveiling LLM's Biases Through the Moral Machine ExperimentCode0
MAAL: Multimodality-Aware Autoencoder-Based Affordance Learning for 3D Articulated ObjectsCode0
Joint Visual and Text Prompting for Improved Object-Centric Perception with Multimodal Large Language ModelsCode0
InternLM-XComposer: A Vision-Language Large Model for Advanced Text-image Comprehension and CompositionCode0
Instruction-Aligned Visual Attention for Mitigating Hallucinations in Large Vision-Language ModelsCode0
Expand VSR Benchmark for VLLM to Expertize in Spatial RulesCode0
ShareGPT4V: Improving Large Multi-Modal Models with Better CaptionsCode0
Re-Imagining Multimodal Instruction Tuning: A Representation ViewCode0
MM-GNN: Mix-Moment Graph Neural Network towards Modeling Neighborhood Feature DistributionCode0
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