Cross-encoder models that rerank initial retrieval results for improved relevance. More accurate than bi-encoders but slower, typically applied to top-k candidates.
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इस पृष्ठ पर
Reranking Models
Reranking models refine initial retrieval results by computing precise relevance scores between queries and retrieved documents.
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