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Climate Check Reranker

Developed by nicolauduran45
A cross-encoder model fine-tuned from cross-encoder/ms-marco-MiniLM-L6-v2, optimized for text reranking and semantic search in the climate science domain
Downloads 17
Release Time : 5/14/2025

Model Overview

This model computes similarity scores for text pairs and can be used for text reranking, semantic search, and information retrieval tasks in the climate science field

Model Features

Climate Science Domain Optimization
Fine-tuned specifically for climate science texts, demonstrating excellent performance in this domain
Efficient Reranking
Capable of quickly computing relevance scores for text pairs, suitable for large-scale retrieval result reranking
High Precision
Outstanding performance on climate science evaluation datasets, achieving a Normalized Discounted Cumulative Gain@10 of 0.6495

Model Capabilities

Text Relevance Scoring
Semantic Search
Retrieval Result Reranking
Climate Science Information Retrieval

Use Cases

Academic Research
Climate Science Literature Retrieval
Helps researchers quickly find the most relevant content from vast climate science literature
Improves the relevance and accuracy of retrieval results
Information Retrieval Systems
Search Engine Result Optimization
Used for reranking results in climate science-related search engines
Enhances efficiency for users to obtain relevant information
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