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Gabriel Stanovsky

Hebrew University of Jerusalem

26 papers hereh-index 263.7k citations48 works total

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

author position
  • first author3
  • middle author18
  • last author4

Across the 25 of 26 papers where every author was matched, so the position is known.

fields
  • cs.CL24
  • cs.AI1
  • cs.DL1
affiliations
  • Hebrew University of Jerusalem
  • Allen Institute for Artificial Intelligence
Homepage
same name
  • Gabriel Stanovsky — 23 papers, h 9
  • Gabriel Stanovsky — 11 papers, h 4
  • Gabriel Stanovsky — 7 papers, h 5
  • Gabriel Stanovsky — 3 papers
  • Gabriel Stanovsky — 1 paper

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
20162025
most citedDROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs

96 citations · 105 across the 13 of their papers we have counts for

collaborators
Showing 2022Show all

3 papers · 1 filter

cs.CL2022

"Covid vaccine is against Covid but Oxford vaccine is made at Oxford!" Semantic Interpretation of Proper Noun Compounds

Keshav Kolluru, Gabriel Stanovsky, Mausam

Proper noun compounds, e.g., "Covid vaccine", convey information in a succinct manner (a "Covid vaccine" is a "vaccine that immunizes against the Covid disease"). These are commonl…

cs.CL2022★ 1 cited

A Computational Acquisition Model for Multimodal Word Categorization

Uri Berger, Gabriel Stanovsky, Omri Abend +1

Recent advances in self-supervised modeling of text and images open new opportunities for computational models of child language acquisition, which is believed to rely heavily on c…

cs.CL2022★ 4 cited

On the Limitations of Dataset Balancing: The Lost Battle Against Spurious Correlations

Roy Schwartz, Gabriel Stanovsky

Recent work has shown that deep learning models in NLP are highly sensitive to low-level correlations between simple features and specific output labels, leading to overfitting and…

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