Angus R. Williams

According to our database, Angus R. Williams authored at least 7 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Validating Political Position Predictions of Arguments.

Jordan Robinson, Angus R. Williams, Katie Atkinson, Anthony G. Cohn

CoRR, February, 2026

2025

Journalists are most likely to receive abuse: analysing online abuse of UK public figures across sport, politics, and journalism on Twitter.

Liam Burke-Moore, Angus R. Williams, Jonathan Bright

EPJ Data Sci., December, 2025

Prompto: An open source library for asynchronous querying of LLM endpoints.

Ryan Sze-Yin Chan, Federico Nanni, Angus Redlarski Williams, Edwin Brown, Liam Burke-Moore, Ed Chapman, Kate Onslow, Tvesha Sippy, Jonathan Bright, Evelina Gabasova

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

2024

Prompto: An open source library for asynchronous querying of LLM endpoints.

Ryan Sze-Yin Chan, Federico Nanni, Edwin Brown, Ed Chapman, Angus R. Williams, Jonathan Bright, Evelina Gabasova

CoRR, 2024

Large language models can consistently generate high-quality content for election disinformation operations.

Angus R. Williams, Liam Burke-Moore, Ryan Sze-Yin Chan, Florence E. Enock, Federico Nanni, Tvesha Sippy, Yi-Ling Chung, Evelina Gabasova, Kobi Hackenburg, Jonathan Bright

CoRR, 2024

Cheap Learning: Maximising Performance of Language Models for Social Data Science Using Minimal Data.

Leonardo Castro-Gonzalez, Yi-Ling Chung, Hannak Rose Kirk, John Francis, Angus R. Williams, Pica Johansson, Jonathan Bright

CoRR, 2024

2023

DoDo Learning: DOmain-DemOgraphic Transfer in Language Models for Detecting Abuse Targeted at Public Figures.

Hannah Rose Kirk, Angus R. Williams, Liam Burke, Yi-Ling Chung, Ivan Debono, Pica Johansson, Francesca Stevens, Jonathan Bright, Scott A. Hale

CoRR, 2023