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researcher

Kai Zhao

Google

5 papers hereh-index 14676 citations29 works total

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

author position
  • first author1
  • middle author4

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CL4
  • q-bio.BM1
affiliations
  • Google
Homepage
same name
  • Kai Zhao — 15 papers
  • Kai Zhao — 12 papers, h 6
  • Kai Zhao — 8 papers, h 8
  • Kai Zhao — 7 papers, h 10
  • Kai Zhao — 6 papers, h 20
  • Kai Zhao — 6 papers

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
20172019
most citedLinearFold: linear-time approximate RNA folding by 5'-to-3' dynamic programming and beam search

255 citations · 262 across the 4 of their papers we have counts for

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2018

When to Finish? Optimal Beam Search for Neural Text Generation (modulo beam size)

Liang Huang, Kai Zhao, Mingbo Ma

In neural text generation such as neural machine translation, summarization, and image captioning, beam search is widely used to improve the output text quality. However, in the ne…

cs.CL2017★ 1 cited

OSU Multimodal Machine Translation System Report

Mingbo Ma, Dapeng Li, Kai Zhao +1

This paper describes Oregon State University's submissions to the shared WMT'17 task "multimodal translation task I". In this task, all the sentence pairs are image captions in dif…

cs.CL2017★ 5 cited

Jointly Trained Sequential Labeling and Classification by Sparse Attention Neural Networks

Mingbo Ma, Kai Zhao, Liang Huang +2

Sentence-level classification and sequential labeling are two fundamental tasks in language understanding. While these two tasks are usually modeled separately, in reality, they ar…

cs.CL2017★ 1 cited

Joint Syntacto-Discourse Parsing and the Syntacto-Discourse Treebank

Kai Zhao, Liang Huang

Discourse parsing has long been treated as a stand-alone problem independent from constituency or dependency parsing. Most attempts at this problem are pipelined rather than end-to…

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