ORCA
Online Research @ Cardiff
Browse by Current Cardiff authors
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Up a levelNumber of items: 4.
Siddique, Zara  ORCID: https://orcid.org/0009-0000-2245-5338, Khalid, Irtaza, Turner, Liam ORCID: https://orcid.org/0000-0003-4877-5289 and Espinosa-Anke, Luis ORCID: https://orcid.org/0000-0001-6830-9176
2026.
Shifting perspectives: Steering vectors for robust bias mitigation in LLMs.
Presented at: European Chapter of the Association for Computational Linguistics (EACL 2026),
Rabat, Morocco,
24-29 March 2026.
Published in: Demberg, Vera, Inui, Kentaro and Marquez, Lluís eds.
Findings of the Association for Computational Linguistics: EACL 2026.
Rabat, Morocco:
Association for Computational Linguistics,
pp. 809-820.
10.18653/v1/2026.findings-eacl.41
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Siddique, Zara ORCID: https://orcid.org/0009-0000-2245-5338
2025.
Measuring and mitigating stereotypes in large language models.
PhD Thesis,
Cardiff University.
Item availability restricted. |
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Siddique, Zara ORCID: https://orcid.org/0009-0000-2245-5338, Turner, Liam ORCID: https://orcid.org/0000-0003-4877-5289 and Espinosa-Anke, Luis ORCID: https://orcid.org/0000-0001-6830-9176
2025.
Dialz: A Python toolkit for steering vectors.
Presented at: The 63rd Annual Meeting of the Association for Computational Linguistics,
Vienna, Austria,
27 July - 1 August 2025.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations).
, vol.3
Vienna, Austria:
Association for Computational Linguistics,
pp. 363-375.
10.18653/v1/2025.acl-demo.35
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Siddique, Zara ORCID: https://orcid.org/0009-0000-2245-5338, Turner, Liam ORCID: https://orcid.org/0000-0003-4877-5289 and Espinosa-Anke, Luis ORCID: https://orcid.org/0000-0001-6830-9176
2024.
Who is better at math, Jenny or Jingzhen? Uncovering Stereotypes in Large Language Models.
Presented at: The 2024 Conference on Empirical Methods in Natural Language Processing,
Miami, FL, USA,
12-16 November 2024.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing.
Association for Computational Linguistics,
pp. 18601-18619.
10.18653/v1/2024.emnlp-main.1035
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