qranker

> me the same, have you finger out the problem?or get a new version code? @fangkuann I didn't try that. But we apply the paper's training method in our query...

@cweill thanks for your answer! In this paper https://ai.google/research/pubs/pub48133/, the authors combine the GBDT based model and DNN based model to enhance model performance. Therefore I want to reproduce it...

meeting the same phenomenon in beam search when n>2... anyone get reason or solutions for it?