Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation
收藏NIAID Data Ecosystem2026-03-12 收录
下载链接：
https://zenodo.org/record/4068215
下载链接
链接失效反馈官方服务：
资源简介：
Teacher train files (ids only), based on the MSMARCO-Passage collection, for the paper:
Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation Sebastian Hofstätter, Sophia Althammer, Michael Schröder, Mete Sertkan and Allan Hanbury (https://arxiv.org/abs/2010.02666)
for the documentation please see: https://github.com/sebastian-hofstaetter/neural-ranking-kd
创建时间：
2020-10-08
