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Peter Shaw

Google

18 papers hereh-index 164.3k citations20 works total

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

author position
  • first author4
  • middle author13
  • last author1

Across the 18 of 18 papers where every author was matched, so the position is known.

fields
  • cs.CL14
  • cs.LG3
  • cs.CV1
affiliations
  • Google
Homepage
same name
  • Peter Shaw — 5 papers, h 4
  • Peter Shaw — 2 papers, h 11
  • Peter Shaw — 1 paper, h 2
  • Peter Shaw — 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
20182024
most citedUnlocking Compositional Generalization in Pre-trained Models Using Intermediate Representations

51 citations · 133 across the 15 of their papers we have counts for

collaborators
Showing 2022 · cs.CLShow all

3 papers · 2 filters

cs.CL2022★ 47 cited

Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding

Kenton Lee, Mandar Joshi, Iulia Turc +7

Visually-situated language is ubiquitous -- sources range from textbooks with diagrams to web pages with images and tables, to mobile apps with buttons and forms. Perhaps due to th…

cs.CL2022★ 8 cited

Generate-and-Retrieve: use your predictions to improve retrieval for semantic parsing

Yury Zemlyanskiy, Michiel de Jong, Joshua Ainslie +5

A common recent approach to semantic parsing augments sequence-to-sequence models by retrieving and appending a set of training samples, called exemplars. The effectiveness of this…

cs.CL2022★ 4 cited

Evaluating the Impact of Model Scale for Compositional Generalization in Semantic Parsing

Linlu Qiu, Peter Shaw, Panupong Pasupat +5

Despite their strong performance on many tasks, pre-trained language models have been shown to struggle on out-of-distribution compositional generalization. Meanwhile, recent work…

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