The Evolution of Reranking Models in Information Retrieval: From Heuristic Methods to Large Language Models
Published:Dec 18, 2025 06:29
•1 min read
•ArXiv
Analysis
This article likely discusses the progression of reranking techniques in information retrieval, starting with older, rule-based methods and culminating in the use of Large Language Models (LLMs). The focus is on how these models improve search results by re-ordering them based on relevance.
Key Takeaways
- •Reranking models have evolved significantly.
- •LLMs are now being used for improved search result relevance.
- •The article likely covers different reranking methodologies.
Reference
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