Learned sparse document representations using a transformer-based neural...
Recent studies show that BM25-driven dynamic index skipping can greatly
...
DNN models across many domains continue to grow in size, resulting in hi...
This paper proposes a dual skipping guidance scheme with hybrid scoring ...
Transformer based re-ranking models can achieve high search relevance th...
Remote memory techniques for datacenter applications have recently gaine...
A graph neural network (GNN) enables deep learning on structured graph d...
Although considerable efforts have been devoted to transformer-based ran...
This paper studies the performances and behaviors of BERT in ranking tas...