579 citations · 753 across the 3 of their papers we have counts for
3 papers
cs.AI2025★ 1 cited
Nature Language Model: Deciphering the Language of Nature for Scientific Discovery
Yingce Xia, Peiran Jin, Shufang Xie +43
Foundation models have revolutionized natural language processing and artificial intelligence, significantly enhancing how machines comprehend and generate human languages. Inspire…
cs.CL2020★ 173 cited
Incorporating BERT into Neural Machine Translation
Jinhua Zhu, Yingce Xia, Lijun Wu +5
The recently proposed BERT has shown great power on a variety of natural language understanding tasks, such as text classification, reading comprehension, etc. However, how to effe…
cs.CL2019★ 579 cited
FastSpeech: Fast, Robust and Controllable Text to Speech
Yi Ren, Yangjun Ruan, Xu Tan +4
Neural network based end-to-end text to speech (TTS) has significantly improved the quality of synthesized speech. Prominent methods (e.g., Tacotron 2) usually first generate mel-s…