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researcher

Yizhong Wang

University of Washington

33 papers hereh-index 2813.9k citations36 works total

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

author position
  • first author6
  • middle author26

Across the 32 of 33 papers where every author was matched, so the position is known.

fields
  • cs.CL31
  • cs.AI1
  • cs.CV1
affiliations
  • University of Washington
HomepageORCID 0000-0003-0964-3849
same name
  • Yizhong Wang — 5 papers, h 2
  • Yizhong Wang — 2 papers, h 6
  • Yizhong Wang — 2 papers, h 2
  • Yizhong Wang — 2 papers, h 2
  • Yizhong Wang — 1 paper, h 5
  • Yizhong Wang — 1 paper, h 2

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
20172026
most citedSelf-Instruct: Aligning Language Models with Self-Generated Instructions

118 citations · 588 across the 31 of their papers we have counts for

collaborators
Showing 2018Show all

4 papers · 1 filter

cs.CL2018★ 2 cited

Toward Fast and Accurate Neural Discourse Segmentation

Yizhong Wang, Sujian Li, Jingfeng Yang

Discourse segmentation, which segments texts into Elementary Discourse Units, is a fundamental step in discourse analysis. Previous discourse segmenters rely on complicated hand-cr…

cs.CL2018★ 9 cited

Bag-of-Words as Target for Neural Machine Translation

Shuming Ma, Xu Sun, Yizhong Wang +1

A sentence can be translated into more than one correct sentences. However, most of the existing neural machine translation models only use one of the correct translations as the t…

cs.CL2018★ 11 cited

Multi-Passage Machine Reading Comprehension with Cross-Passage Answer Verification

Yizhong Wang, Kai Liu, Jing Liu +5

Machine reading comprehension (MRC) on real web data usually requires the machine to answer a question by analyzing multiple passages retrieved by search engine. Compared with MRC…

cs.CL2018★ 3 cited

Tag-Enhanced Tree-Structured Neural Networks for Implicit Discourse Relation Classification

Yizhong Wang, Sujian Li, Jingfeng Yang +2

Identifying implicit discourse relations between text spans is a challenging task because it requires understanding the meaning of the text. To tackle this task, recent studies hav…

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