98 citations · 100 across the 7 of their papers we have counts for
Showing 2024Show all
2 papers · 1 filter
cs.IR2024★ 1 cited
Sliding Windows Are Not the End: Exploring Full Ranking with Long-Context Large Language Models
Wenhan Liu, Xinyu Ma, Yutao Zhu +4
Large Language Models (LLMs) have shown exciting performance in listwise passage ranking. Due to the limited input length, existing methods often adopt the sliding window strategy.…
cs.IR2024★ 1 cited
DemoRank: Selecting Effective Demonstrations for Large Language Models in Ranking Task
Wenhan Liu, Yutao Zhu, Zhicheng Dou
Recently, there has been increasing interest in applying large language models (LLMs) as zero-shot passage rankers. However, few studies have explored how to select appropriate in-…