MMEB
Emerging10papers using it
2024first seen
Papers using MMEB (10)
- LLaVE: Large Language and Vision Embedding Models with Hardness-Weighted Contrastive LearningAdaptive Global and Fine-Grained Perceptual Fusion for MLLM Embeddings Compatible with Hard Negative AmplificationCREM: Compression-Driven Representation Enhancement for Multimodal Retrieval and ComprehensionCompressing then Matching: An Efficient Pre-training Paradigm for Multimodal EmbeddingFreeRet: MLLMs as Training-Free RetrieversImprove Multi-Modal Embedding Learning via Explicit Hard Negative Gradient AmplifyingMoCa: Modality-aware Continual Pre-training Makes Better Bidirectional Multimodal EmbeddingsBreaking the Modality Barrier: Universal Embedding Learning with Multimodal LLMsmmE5: Improving Multimodal Multilingual Embeddings via High-quality
Synthetic DataVLM2Vec: Training Vision-Language Models for Massive Multimodal
Embedding Tasks