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Vinh Q. Tran

Google

16 papers hereh-index 162.9k citations20 works total

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

author position
  • middle author13
  • last author1

Across the 14 of 16 papers where every author was matched, so the position is known.

fields
  • cs.CL11
  • cs.IR3
  • astro-ph.HE1
  • cs.LG1
affiliations
  • Google
Homepage
same name
  • Vinh Q. Tran — 2 papers, h 3
  • Vinh Q. Tran — 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
20212023
most citedUL2: Unifying Language Learning Paradigms

98 citations · 414 across the 16 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

cs.CL2021★ 8 cited

ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning

Vamsi Aribandi, Yi Tay, Tal Schuster +11

Despite the recent success of multi-task learning and transfer learning for natural language processing (NLP), few works have systematically studied the effect of scaling up the nu…

cs.CL2021★ 1 cited

AgreeSum: Agreement-Oriented Multi-Document Summarization

Richard Yuanzhe Pang, Adam D. Lelkes, Vinh Q. Tran +1

We aim to renew interest in a particular multi-document summarization (MDS) task which we call AgreeSum: agreement-oriented multi-document summarization. Given a cluster of article…

cs.CL2021★ 84 cited

Charformer: Fast Character Transformers via Gradient-based Subword Tokenization

Yi Tay, Vinh Q. Tran, Sebastian Ruder +7

State-of-the-art models in natural language processing rely on separate rigid subword tokenization algorithms, which limit their generalization ability and adaptation to new settin…

cs.CL2021

Quiz-Style Question Generation for News Stories

Adam D. Lelkes, Vinh Q. Tran, Cong Yu

A large majority of American adults get at least some of their news from the Internet. Even though many online news products have the goal of informing their users about the news,…

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