DualEnd：全池集合式长上下文 LLM 重排方法

1. 12:00
   arXiv · Information Retrieval

   用全池、集合式、长上下文 LLM 实现更高效的 LLM 重排序

   论文提出 Whole-Pool Setwise 重排序方法 DualEnd，让每次比较对整个候选池排序，并同时选出最相关与最不相关候选，从两端填满排序。

Current heat 6·Comparable peak 10（Oct 5）·Comparable change over 24 hours –

The trend compares only the same participants observed continuously; its range may be smaller than the current heat count. Move or click on the chart to inspect hourly heat; use the left and right arrow keys to switch.