1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CL2023★ 1 cited
GKD: A General Knowledge Distillation Framework for Large-scale Pre-trained Language Model
Shicheng Tan, Weng Lam Tam, Yuanchun Wang +9
Currently, the reduction in the parameter scale of large-scale pre-trained language models (PLMs) through knowledge distillation has greatly facilitated their widespread deployment…
cs.CL2023
Are Intermediate Layers and Labels Really Necessary? A General Language Model Distillation Method
Shicheng Tan, Weng Lam Tam, Yuanchun Wang +4
The large scale of pre-trained language models poses a challenge for their deployment on various devices, with a growing emphasis on methods to compress these models, particularly…
cs.SI2019★ 1 cited
CONNA: Addressing Name Disambiguation on The Fly
Bo Chen, Jing Zhang, Jie Tang +5
Name disambiguation is a key and also a very tough problem in many online systems such as social search and academic search. Despite considerable research, a critical issue that ha…