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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 26–50 of 95 papers

TitleStatusHype
FRAG: Frame Selection Augmented Generation for Long Video and Long Document UnderstandingCode1
HyperLLaVA: Dynamic Visual and Language Expert Tuning for Multimodal Large Language ModelsCode1
To Preserve or To Compress: An In-Depth Study of Connector Selection in Multimodal Large Language ModelsCode1
Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video AnalysisCode1
ParGo: Bridging Vision-Language with Partial and Global ViewsCode1
Pensieve: Retrospect-then-Compare Mitigates Visual HallucinationCode1
Prompt Highlighter: Interactive Control for Multi-Modal LLMsCode1
BOLT: Boost Large Vision-Language Model Without Training for Long-form Video UnderstandingCode1
What Makes for Good Visual Instructions? Synthesizing Complex Visual Reasoning Instructions for Visual Instruction TuningCode1
Semi-supervised Domain Adaptation via Minimax EntropyCode1
Dynamic Multimodal Evaluation with Flexible Complexity by Vision-Language BootstrappingCode1
Orthus: Autoregressive Interleaved Image-Text Generation with Modality-Specific Heads—0
Q-Frame: Query-aware Frame Selection and Multi-Resolution Adaptation for Video-LLMs—0
RITUAL: Random Image Transformations as a Universal Anti-hallucination Lever in Large Vision Language Models—0
SAVEn-Vid: Synergistic Audio-Visual Integration for Enhanced Understanding in Long Video Context—0
Scalable K-Medoids via True Error Bound and Familywise Bandits—0
Silkie: Preference Distillation for Large Visual Language Models—0
ZipVL: Efficient Large Vision-Language Models with Dynamic Token Sparsification—0
AIDE: Agentically Improve Visual Language Model with Domain Experts—0
An LMM for Efficient Video Understanding via Reinforced Compression of Video Cubes—0
Apollo: An Exploration of Video Understanding in Large Multimodal Models—0
Benchmarking and In-depth Performance Study of Large Language Models on Habana Gaudi Processors—0
DAMRO: Dive into the Attention Mechanism of LVLM to Reduce Object Hallucination—0
Deep Learning for Hybrid 5G Services in Mobile Edge Computing Systems: Learn from a Digital Twin—0
Domain Adaptation via Minimax Entropy for Real/Bogus Classification of Astronomical Alerts—0
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