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Da Ju

Facebook AI Research

13 papers hereh-index 133k citations29 works total

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

author position
  • first author2
  • middle author9

Across the 11 of 13 papers where every author was matched, so the position is known.

fields
  • cs.CL9
  • cs.LG3
  • cs.SE1
affiliations
  • Facebook AI Research
Homepage
same name
  • Da Ju — 3 papers, h 3

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
20182026
most citedThe FLORES-101 Evaluation Benchmark for Low-Resource and Multilingual Machine Translation

82 citations · 144 across the 8 of their papers we have counts for

collaborators
Showing 2021Show all

3 papers · 1 filter

cs.LG2021★ 5 cited

Not All Memories are Created Equal: Learning to Forget by Expiring

Sainbayar Sukhbaatar, Da Ju, Spencer Poff +4

Attention mechanisms have shown promising results in sequence modeling tasks that require long-term memory. Recent work investigated mechanisms to reduce the computational cost of…

cs.LG2021★ 3 cited

Staircase Attention for Recurrent Processing of Sequences

Da Ju, Stephen Roller, Sainbayar Sukhbaatar +1

Attention mechanisms have become a standard tool for sequence modeling tasks, in particular by stacking self-attention layers over the entire input sequence as in the Transformer a…

cs.CL2021★ 82 cited

The FLORES-101 Evaluation Benchmark for Low-Resource and Multilingual Machine Translation

Naman Goyal, Cynthia Gao, Vishrav Chaudhary +7

One of the biggest challenges hindering progress in low-resource and multilingual machine translation is the lack of good evaluation benchmarks. Current evaluation benchmarks eithe…

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