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Think Thrice Before Reranking: Multi-perspective Evidence and Reasoning Integration for Text Reranking

Liu, Lijun et al.
arXiv (All) · Papers
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computation-and-languageinformation-retrieval
Reasoning-based reranking with Large Language Models (LLMs) has shown promising improvements in text ranking. However, current methods predominantly rely on a single reasoning trajectory, resulting in rankings that are susceptible to reasoning errors and inherently constrained in modeling the multif
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