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Biao Zhang

University of Edinburgh

32 papers hereh-index 258.4k citations52 works total

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

author position
  • first author21
  • middle author7
  • last author2

Across the 30 of 32 papers where every author was matched, so the position is known.

fields
  • cs.CL28
  • cs.LG3
  • cs.AI1
affiliations
  • University of Edinburgh
same name
  • Biao Zhang — 84 papers
  • Biao Zhang — 23 papers, h 11
  • Biao Zhang — 5 papers, h 3
  • Biao Zhang — 4 papers, h 2
  • Biao Zhang — 3 papers, h 4
  • Biao Zhang — 3 papers, 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
20162024
most citedGemini 1.5: Unlocking multimodal understanding across millions of tokens of context

297 citations · 716 across the 31 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

cs.CL2020★ 4 cited

Fast Interleaved Bidirectional Sequence Generation

Biao Zhang, Ivan Titov, Rico Sennrich

Independence assumptions during sequence generation can speed up inference, but parallel generation of highly inter-dependent tokens comes at a cost in quality. Instead of assuming…

cs.CL2020★ 3 cited

Adaptive Feature Selection for End-to-End Speech Translation

Biao Zhang, Ivan Titov, Barry Haddow +1

Information in speech signals is not evenly distributed, making it an additional challenge for end-to-end (E2E) speech translation (ST) to learn to focus on informative features. I…

cs.CL2020★ 7 cited

On Sparsifying Encoder Outputs in Sequence-to-Sequence Models

Biao Zhang, Ivan Titov, Rico Sennrich

Sequence-to-sequence models usually transfer all encoder outputs to the decoder for generation. In this work, by contrast, we hypothesize that these encoder outputs can be compress…

cs.CL2020

A Study in Improving BLEU Reference Coverage with Diverse Automatic Paraphrasing

Rachel Bawden, Biao Zhang, Lisa Yankovskaya +2

We investigate a long-perceived shortcoming in the typical use of BLEU: its reliance on a single reference. Using modern neural paraphrasing techniques, we study whether automatica…

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