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David Errington

2 papers hereh-index 4158 citations8 works total

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

author position
  • first author1
  • middle author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CL1
  • q-bio.BM1

identity via Semantic Scholar / OpenAlex

most citedStereotype and Skew: Quantifying Gender Bias in Pre-trained and Fine-tuned Language Models

13 citations · 16 across the 2 of their papers we have counts for

collaborators

2 papers

q-bio.BM2024★ 3 cited

Assessing interaction recovery of predicted protein-ligand poses

David Errington, Constantin Schneider, Cédric Bouysset +1

The field of protein-ligand pose prediction has seen significant advances in recent years, with machine learning-based methods now being commonly used in lieu of classical docking…

cs.CL2021★ 13 cited

Stereotype and Skew: Quantifying Gender Bias in Pre-trained and Fine-tuned Language Models

Daniel de Vassimon Manela, David Errington, Thomas Fisher +2

This paper proposes two intuitive metrics, skew and stereotype, that quantify and analyse the gender bias present in contextual language models when tackling the WinoBias pronoun r…

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