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What is Compact Reranking for Scientific Retrieval about?

The document presents C O R ANK, a novel reranking framework for scientific retrieval that addresses the limitations of traditional LLM-based methods by utilizing compact document representations based on semantic features. This three-stage approach involves offline extraction of document features, coarse reranking, and fine-grained reranking, significantly improving retrieval performance across various LLM backbones. Experiments demonstrate that C O R ANK enhances the effectiveness of scientific document r

Author

xalil.hero

Language

EN