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mGTE: Multilingual Long-Context Retrieval by zhangjunqi13.cst is a document available to read on EtoBox.

What is mGTE: Multilingual Long-Context Retrieval about?

The document presents the mGTE model, a long-context multilingual text representation and reranking model designed for efficient text retrieval. It introduces a novel text encoder capable of processing up to 8192 tokens, outperforming previous state-of-the-art models, and demonstrates improved efficiency and effectiveness in multilingual and long-context retrieval tasks. The authors also provide extensive experimental results and plan to open-source their models and code for further research and application

Author

zhangjunqi13.cst

Language

EN