M-BEIR
Emerging6papers using it
2024first seen
The 'M-BEIR' dataset/benchmark contains multiple datasets and retrieval tasks designed to evaluate the performance of multimodal large language models in universal multimodal retrieval scenarios.
Papers using M-BEIR (5)
- Recurrence-Enhanced Vision-and-Language Transformers for Robust
Multimodal Document RetrievalReasoning-Augmented Representations for Multimodal RetrievalExploring a Unified Vision-Centric Contrastive Alternatives on Multi-Modal Web DocumentsU-MARVEL: Unveiling Key Factors for Universal Multimodal Retrieval via Embedding Learning with MLLMsMM-Embed: Universal Multimodal Retrieval with Multimodal LLMs