16 citations · 22 across the 2 of their papers we have counts for
3 papers
cs.CL2019★ 6 cited
Model Compression with Two-stage Multi-teacher Knowledge Distillation for Web Question Answering System
Ze Yang, Linjun Shou, Ming Gong +2
Deep pre-training and fine-tuning models (such as BERT and OpenAI GPT) have demonstrated excellent results in question answering areas. However, due to the sheer amount of model pa…
cs.CL2019★ 16 cited
Model Compression with Multi-Task Knowledge Distillation for Web-scale Question Answering System
Ze Yang, Linjun Shou, Ming Gong +2
Deep pre-training and fine-tuning models (like BERT, OpenAI GPT) have demonstrated excellent results in question answering areas. However, due to the sheer amount of model paramete…
cs.CL2019
NeuronBlocks: Building Your NLP DNN Models Like Playing Lego
Ming Gong, Linjun Shou, Wutao Lin +5
Deep Neural Networks (DNN) have been widely employed in industry to address various Natural Language Processing (NLP) tasks. However, many engineers find it a big overhead when the…