Web3STCA NLP Group, Microsoft, Beijing, China [email protected], [email protected] fnanduan, migon, djiang, [email protected] Abstract We propose Unicoder-VL, a universal encoder that aims to learn joint representations of vision and language in a pre-training manner. Borrow ideas from cross-lingual pre- WebSenior Applied Scientist About Publications About I am a senior applied scientist of Microsoft STCA (Software Technology Center at Asia) S+D NLP Science Group. Before that, I worked on chatbot systems at Microsoft XiaoIce Research Group from 2024 to 2024 and Microsoft Research Asia from 2024 to 2024.

Reinforced Multi-Teacher Selection for Knowledge Distillation

WebIn natural language processing (NLP) tasks, slow inference speed and huge footprints in GPU usage remain the bottleneck of applying pre-trained deep models in production. As a … WebSTCA NLP Group, Microsoft Linjun Shou† [email protected] STCA NLP Group, Microsoft Ming Gong [email protected] STCA NLP Group, Microsoft Wutao Lin … feel the energy katnip

Welcome to Zhuang’s personal website! - Zhuang Li

WebMING GONG,Microsoft STCA NLP Group, China LINJUN SHOU,Microsoft STCA NLP Group, China HONG QU,University of Electronic Science and Technology of China, China MICHAEL ZENG,Microsoft Speech and Dialogue Research Group, USA Modern Automatic Speech Recognition (ASR) systems can achieve high performance in terms of recognition accuracy. WebSTCA NLP Group, Microsoft Jian Pei [email protected] School of Computing Science, Simon Fraser University Ming Gong [email protected] STCA NLP Group, Microsoft Wanli … WebSTCA NLP Group, Microsoft ABSTRACT Lack of training data in low-resource languages presents huge chal-lenges to sequence labeling tasks such as named entity recognition (NER) and machine reading comprehension (MRC). One major ob-stacle is the errors on the boundary of predicted answers. To tackle feel the effect of working in a stuffy room