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Ruri Reranker Stage1 Base

Developed by cl-nagoya
Ruri Reranker is a Japanese text reranking model based on Transformer architecture, specifically designed to optimize the ranking quality of retrieval results.
Downloads 26
Release Time : 8/19/2024

Model Overview

This model is a general-purpose Japanese reranking model based on Transformer architecture, specifically designed to optimize the ranking quality of retrieval results. It can rerank search results to improve the ranking of relevant documents.

Model Features

Japanese Optimization
A reranking model specifically optimized for Japanese text
High Performance
Outperforms similar models on multiple Japanese benchmarks
Lightweight
Fewer parameters compared to large models while maintaining high performance

Model Capabilities

Text Relevance Scoring
Retrieval Result Reranking
Query-Document Matching Evaluation

Use Cases

Information Retrieval
Search Engine Optimization
Rerank search engine results to improve relevance
Enhance efficiency for users to obtain accurate information
Question Answering Systems
Rank candidate answers to select the most relevant response
Improve the accuracy of question answering systems
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