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Ruri Reranker Base

Developed by cl-nagoya
General-purpose Japanese reranking model for improving relevance ranking in Japanese text retrieval
Downloads 1,100
Release Time : 8/20/2024

Model Overview

Ruri Reranker is a Japanese text reranking model based on Sentence Transformers, specifically designed to optimize relevance ranking in Japanese text retrieval. This model can evaluate the relevance between queries and documents and rerank retrieval results to improve accuracy.

Model Features

Japanese Optimization
Reranking model specifically optimized for Japanese text
High Performance
Outstanding performance in multiple Japanese benchmark tests
Lightweight
Fewer parameters compared to large models while maintaining high performance

Model Capabilities

Text Relevance Evaluation
Retrieval Result Reranking
Japanese Text Processing

Use Cases

Information Retrieval
Search Engine Optimization
Improve relevance ranking in Japanese search engine results
Significantly enhances search result relevance
Q&A Systems
Optimize candidate answer ranking in Q&A systems
Improves the ranking position of correct answers
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