32 citations · 36 across the 3 of their papers we have counts for
3 papers
cs.CL2022★ 1 cited
A Survey for Efficient Open Domain Question Answering
Qin Zhang, Shangsi Chen, Dongkuan Xu +4
Open domain question answering (ODQA) is a longstanding task aimed at answering factual questions from a large knowledge corpus without any explicit evidence in natural language pr…
cs.CL2022★ 3 cited
AutoDistil: Few-shot Task-agnostic Neural Architecture Search for Distilling Large Language Models
Dongkuan Xu, Subhabrata Mukherjee, Xiaodong Liu +5
Knowledge distillation (KD) methods compress large models into smaller students with manually-designed student architectures given pre-specified computational cost. This requires s…
cs.LG2021★ 32 cited
InfoGCL: Information-Aware Graph Contrastive Learning
Dongkuan Xu, Wei Cheng, Dongsheng Luo +2
Various graph contrastive learning models have been proposed to improve the performance of learning tasks on graph datasets in recent years. While effective and prevalent, these mo…