AFR-Rank: An effective and highly efficient LLM-based listwise reranking framework via filtering noise documents

待确认 20 由 Archie 发布于 2026/4/7 18:12:43

DOI:10.1016/j.ipm.2025.104232
作者：Yinghao Xiong , Xinhui Tu , Weizhong Zhao
文献类型：期刊论文
补充材料：只需要正文
文献链接：https://doi.org/10.1016/j.ipm.2025.104232

Elsevier

Abstract：Recently, listwise reranking methods powered by Large Language Models (LLMs) have demonstrated promising results across multiple retrieval benchmarks. However, these approaches often suffer

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