How to Data in Datathons. - Carlos Mougan; Richard Plant; Clare Teng; Marya Bazzi; Alvaro Cabrejas Egea; Ryan Sze-Yin Chan; David Salvador Jasin; Martin Stoffel; Kirstie J. Whitaker; Jules Manser (NeurIPS, 2023)

Sig-Networks Toolkit: Signature Networks for Longitudinal Language Modelling. - Talia Tseriotou; Ryan Sze-Yin Chan; Adam Tsakalidis; Iman Munire Bilal; Elena Kochkina; Terry J. Lyons; Maria Liakata (EACL (Demonstrations), 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)

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)

Maya: An Instruction Finetuned Multilingual Multimodal Model. - Nahid Alam; Karthik Reddy Kanjula; Surya Guthikonda; Timothy Chung; Bala Krishna S. Vegesna; Abhipsha Das; Anthony Susevski; Ryan Sze-Yin Chan; S. M. Iftekhar Uddin; Shayekh Bin Islam; Roshan Santhosh; Snegha A; et al. (CoRR, 2024)

Behind Maya: Building a Multilingual Vision Language Model. - Nahid Alam; Karthik Reddy Kanjula; Surya Guthikonda; Timothy Chung; Bala Krishna S. Vegesna; Abhipsha Das; Anthony Susevski; Ryan Sze-Yin Chan; S. M. Iftekhar Uddin; Shayekh Bin Islam; Roshan Santhosh; Snegha A; et al. (CoRR, 2025)

Retrieval-augmented reasoning with lean language models. - Ryan Sze-Yin Chan; Federico Nanni; Tomas Lazauskas; Rosie Wood; Penelope Yong; Lionel Tarassenko; Mark Girolami; James Geddes; Andrew B. Duncan (CoRR, 2025)