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Tomas Goldsack

University of Sheffield

10 papers hereh-index 9312 citations13 works total

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

author position
  • first author6
  • middle author3

Across the 9 of 10 papers where every author was matched, so the position is known.

fields
  • cs.CL9
  • physics.soc-ph1
affiliations
  • University of Sheffield

identity via Semantic Scholar / OpenAlex

activity
20222025
most citedOverview of the BioLaySumm 2023 Shared Task on Lay Summarization of Biomedical Research Articles

12 citations · 17 across the 10 of their papers we have counts for

collaborators
Showing 2025Show all

2 papers · 1 filter

cs.CL2025

Command A: An Enterprise-Ready Large Language Model

Team Cohere, :, Aakanksha +227

In this report we describe the development of Command A, a powerful large language model purpose-built to excel at real-world enterprise use cases. Command A is an agent-optimised…

cs.CL2025

Leveraging Large Language Models for Zero-shot Lay Summarisation in Biomedicine and Beyond

Tomas Goldsack, Carolina Scarton, Chenghua Lin

In this work, we explore the application of Large Language Models to zero-shot Lay Summarisation. We propose a novel two-stage framework for Lay Summarisation based on real-life pr…

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