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researcher

Xiaoyi Zhang

University of Washington

3 papers hereh-index 9415 citations19 works total

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

author position
  • first author1
  • middle author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.AI1
  • cs.CL1
  • math.OC1
affiliations
  • University of Washington
  • New York University
same name
  • Xiaoyi Zhang — 29 papers, h 20
  • Xiaoyi Zhang — 22 papers, h 6
  • Xiaoyi Zhang — 7 papers, h 9
  • Xiaoyi Zhang — 5 papers, h 5
  • Xiaoyi Zhang — 2 papers, h 5
  • Xiaoyi Zhang — 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
20202023
most citedIntermediate-Task Transfer Learning with Pretrained Models for Natural Language Understanding: When and Why Does It Work?

53 citations · 55 across the 3 of their papers we have counts for

collaborators

3 papers

cs.AI2023★ 2 cited

Responsible Task Automation: Empowering Large Language Models as Responsible Task Automators

Zhizheng Zhang, Xiaoyi Zhang, Wenxuan Xie +1

The recent success of Large Language Models (LLMs) signifies an impressive stride towards artificial general intelligence. They have shown a promising prospect in automatically com…

math.OC2021

Optimal defined contribution pension management with jump diffusions and common shock dependence

Xiaoyi Zhang, Linlin Tian

This work deals with an optimal asset allocation problem for a defined contribution (DC) pension plan during its accumulation phase. The contribution rate is proportional to the in…

cs.CL2020★ 53 cited

Intermediate-Task Transfer Learning with Pretrained Models for Natural Language Understanding: When and Why Does It Work?

Yada Pruksachatkun, Jason Phang, Haokun Liu +6

While pretrained models such as BERT have shown large gains across natural language understanding tasks, their performance can be improved by further training the model on a data-r…

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