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Mandy Guo

17 papers hereh-index 162.2k citations21 works total

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

author position
  • first author4
  • middle author10
  • last author3

Across the 17 of 17 papers where every author was matched, so the position is known.

fields
  • cs.CL15
  • cs.CV1
  • cs.IR1
same name
  • Mandy Guo — 2 papers, h 4
  • Mandy Guo — 1 paper
  • Mandy Guo — 1 paper, h 1

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
20182023
most citedMultilingual Universal Sentence Encoder for Semantic Retrieval

67 citations · 143 across the 16 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

cs.CL2019★ 14 cited

Bridging the Gap for Tokenizer-Free Language Models

Dokook Choe, Rami Al-Rfou, Mandy Guo +2

Purely character-based language models (LMs) have been lagging in quality on large scale datasets, and current state-of-the-art LMs rely on word tokenization. It has been assumed t…

cs.CL2019★ 67 cited

Multilingual Universal Sentence Encoder for Semantic Retrieval

Yinfei Yang, Daniel Cer, Amin Ahmad +9

We introduce two pre-trained retrieval focused multilingual sentence encoding models, respectively based on the Transformer and CNN model architectures. The models embed text from…

cs.CL2019★ 2 cited

Hierarchical Document Encoder for Parallel Corpus Mining

Mandy Guo, Yinfei Yang, Keith Stevens +5

We explore using multilingual document embeddings for nearest neighbor mining of parallel data. Three document-level representations are investigated: (i) document embeddings gener…

cs.CL2019★ 12 cited

Improving Multilingual Sentence Embedding using Bi-directional Dual Encoder with Additive Margin Softmax

Yinfei Yang, Gustavo Hernandez Abrego, Steve Yuan +6

In this paper, we present an approach to learn multilingual sentence embeddings using a bi-directional dual-encoder with additive margin softmax. The embeddings are able to achieve…

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