activity
20182026
most citedBioGPT: Generative Pre-trained Transformer for Biomedical Text Generation and Mining

1.2k citations · 2.6k across the 19 of their papers we have counts for

collaborators
Showing cs.CLShow all

8 papers · 1 filter

cs.CL2023★ 174 cited

Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine

Harsha Nori, Yin Tat Lee, Sheng Zhang +15

Generalist foundation models such as GPT-4 have displayed surprising capabilities in a wide variety of domains and tasks. Yet, there is a prevalent assumption that they cannot matc…

cs.CL2022★ 1.2k cited

BioGPT: Generative Pre-trained Transformer for Biomedical Text Generation and Mining

Renqian Luo, Liai Sun, Yingce Xia +4

Pre-trained language models have attracted increasing attention in the biomedical domain, inspired by their great success in the general natural language domain. Among the two main…

cs.CL2021★ 12 cited

Analyzing and Mitigating Interference in Neural Architecture Search

Jin Xu, Xu Tan, Kaitao Song +5

Weight sharing is a popular approach to reduce the cost of neural architecture search (NAS) by reusing the weights of shared operators from previously trained child models. However…

cs.CL2021★ 3 cited

A Survey on Low-Resource Neural Machine Translation

Rui Wang, Xu Tan, Renqian Luo +2

Neural approaches have achieved state-of-the-art accuracy on machine translation but suffer from the high cost of collecting large scale parallel data. Thus, a lot of research has…

cs.CL2021★ 51 cited

NAS-BERT: Task-Agnostic and Adaptive-Size BERT Compression with Neural Architecture Search

Jin Xu, Xu Tan, Renqian Luo +4

While pre-trained language models (e.g., BERT) have achieved impressive results on different natural language processing tasks, they have large numbers of parameters and suffer fro…

cs.CL2021★ 30 cited

FastCorrect: Fast Error Correction with Edit Alignment for Automatic Speech Recognition

Yichong Leng, Xu Tan, Linchen Zhu +7

Error correction techniques have been used to refine the output sentences from automatic speech recognition (ASR) models and achieve a lower word error rate (WER) than original ASR…

cs.CL2019

Microsoft Research Asia's Systems for WMT19

Yingce Xia, Xu Tan, Fei Tian +11

We Microsoft Research Asia made submissions to 11 language directions in the WMT19 news translation tasks. We won the first place for 8 of the 11 directions and the second place fo…

cs.CL2018★ 566 cited

Achieving Human Parity on Automatic Chinese to English News Translation

Hany Hassan, Anthony Aue, Chang Chen +21

Machine translation has made rapid advances in recent years. Millions of people are using it today in online translation systems and mobile applications in order to communicate acr…