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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

Showing 9195 of 95 papers

TitleStatusHype
Online Meta-Learning for Multi-Source and Semi-Supervised Domain Adaptation0
Learning Multilingual Meta-Embeddings for Code-Switching Named Entity Recognition0
Deep Learning for Hybrid 5G Services in Mobile Edge Computing Systems: Learn from a Digital Twin0
Scalable K-Medoids via True Error Bound and Familywise Bandits0
Semi-supervised Domain Adaptation via Minimax EntropyCode1
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