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Bei Li

21 papers hereh-index 151.5k citations36 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author9
  • middle author12

Across the 21 of 21 papers where every author was matched, so the position is known.

fields
  • cs.CL20
  • cs.CV1
same name
  • Bei Li — 25 papers, h 7
  • Bei Li — 13 papers, h 4
  • Bei Li — 8 papers, h 7
  • Bei Li — 2 papers, h 2
  • Bei Li — 2 papers, h 3
  • Bei Li — 2 papers, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20192023
most citedLearning Deep Transformer Models for Machine Translation

97 citations · 129 across the 21 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

cs.CL2021★ 1 cited

The NiuTrans Machine Translation Systems for WMT21

Shuhan Zhou, Tao Zhou, Binghao Wei +15

This paper describes NiuTrans neural machine translation systems of the WMT 2021 news translation tasks. We made submissions to 9 language directions, including English$\leftrighta…

cs.CL2021

The NiuTrans System for WNGT 2020 Efficiency Task

Chi Hu, Bei Li, Ye Lin +5

This paper describes the submissions of the NiuTrans Team to the WNGT 2020 Efficiency Shared Task. We focus on the efficient implementation of deep Transformer models \cite{wang-et…

cs.CL2021

The NiuTrans System for the WMT21 Efficiency Task

Chenglong Wang, Chi Hu, Yongyu Mu +8

This paper describes the NiuTrans system for the WMT21 translation efficiency task (http://statmt.org/wmt21/efficiency-task.html). Following last year's work, we explore various te…

cs.CL2021★ 11 cited

ODE Transformer: An Ordinary Differential Equation-Inspired Model for Neural Machine Translation

Bei Li, Quan Du, Tao Zhou +4

It has been found that residual networks are an Euler discretization of solutions to Ordinary Differential Equations (ODEs). In this paper, we explore a deeper relationship between…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.