K

Ko Reranker

Developed by upskyy
ko-reranker is a text ranking model fine-tuned with Korean data based on the BAAI/bge-reranker-large model.
Downloads 81
Release Time : 8/16/2024

Model Overview

This model is primarily used for text ranking tasks, capable of calculating relevance scores between queries and passages, with higher scores indicating stronger relevance. Supports Korean, English, and Chinese.

Model Features

Multilingual Support
Supports text ranking tasks in three languages: Korean, English, and Chinese.
Fine-tuning Optimization
Based on the BAAI/bge-reranker-large model, it has been specifically fine-tuned with Korean data to optimize Korean text ranking performance.
Score Normalization
Provides score normalization functionality, mapping relevance scores to a range of 0-1 for easier comparison and understanding.

Model Capabilities

Text Relevance Calculation
Multilingual Text Ranking
Query-Passage Matching Evaluation

Use Cases

Information Retrieval
Search Engine Result Ranking
Rank search engine results by relevance to improve user experience.
Effectively distinguishes between relevant and irrelevant search results
Question Answering Systems
Answer Candidate Ranking
Rank multiple candidate answers generated by a QA system by relevance.
Increases the probability of the best answer being displayed first
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