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ORCIDRyan Sze-Yin Chan
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2020 – today
- 2025
[c3]Ryan Sze-Yin Chan, Federico Nanni, Angus Redlarski Williams, Edwin Brown, Liam Burke-Moore, Ed Chapman, Kate Onslow, Tvesha Sippy, Jonathan Bright, Evelina Gabasova:
Prompto: An open source library for asynchronous querying of LLM endpoints. NAACL (System Demonstrations) 2025: 106-115- [i8]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, Drishti Sharma, Chen Liu, Isha Chaturvedi, Genta Indra Winata, Ashvanth. S, Snehanshu Mukherjee, Alham Fikri Aji:
Behind Maya: Building a Multilingual Vision Language Model. CoRR abs/2505.08910 (2025) - [i7]Ryan Sze-Yin Chan, Federico Nanni, Tomas Lazauskas, Rosie Wood, Penelope Yong, Lionel Tarassenko, Mark Girolami, James Geddes, Andrew B. Duncan:
Retrieval-augmented reasoning with lean language models. CoRR abs/2508.11386 (2025) - [i6]Tom Dunstan, Oliver Strickson, Thusal Bennett, Jack Bowyer, Matthew Burnand, James Chappell, Alejandro Coca-Castro, Kirstine Ida Dale, Eric G. Daub, Noushin Eftekhari, Manvendra Janmaijaya, Jon Lillis, David Salvador Jasin, Nathan Simpson, Ryan Sze-Yin Chan, Mohamad Elmasri, Lydia Allegranza France, Sam Madge, Levan Bokeria, Hannah Brown, Tom Dodds, Anna-Louise Ellis, David Llewellyn-Jones, Theo McCaie, Sophia Moreton, Tom Potter, James Robinson, Adam A. Scaife, Iain Stenson, David Walters, Karina Bett-Williams, Louisa van Zeeland, Peter Yatsyshin, J. Scott Hosking:
FastNet: Improving the physical consistency of machine-learning weather prediction models through loss function design. CoRR abs/2509.17601 (2025) - 2024
- [c2]Talia Tseriotou, Ryan Sze-Yin Chan, Adam Tsakalidis, Iman Munire Bilal, Elena Kochkina, Terry J. Lyons, Maria Liakata:
Sig-Networks Toolkit: Signature Networks for Longitudinal Language Modelling. EACL (Demonstrations) 2024: 223-237 - [i5]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:
Large language models can consistently generate high-quality content for election disinformation operations. CoRR abs/2408.06731 (2024) - [i4]Ryan Sze-Yin Chan, Federico Nanni, Edwin Brown, Ed Chapman, Angus R. Williams, Jonathan Bright, Evelina Gabasova:
Prompto: An open source library for asynchronous querying of LLM endpoints. CoRR abs/2408.11847 (2024) - [i3]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, Drishti Sharma, Chen Liu, Isha Chaturvedi, Genta Indra Winata, Ashvanth. S, Snehanshu Mukherjee, Alham Fikri Aji:
Maya: An Instruction Finetuned Multilingual Multimodal Model. CoRR abs/2412.07112 (2024) - 2023
- [c1]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:
How to Data in Datathons. NeurIPS 2023 - [i2]Carlos Mougan, Richard Plant, Clare Teng, Marya Bazzi, Alvaro Cabrejas Egea, Ryan Sze-Yin Chan, David Salvador Jasin, Martin Stoffel, Kirstie Jane Whitaker, Jules Manser:
How to Data in Datathons. CoRR abs/2309.09770 (2023) - [i1]Talia Tseriotou, Ryan Sze-Yin Chan, Adam Tsakalidis, Iman Munire Bilal, Elena Kochkina, Terry J. Lyons, Maria Liakata:
Sig-Networks Toolkit: Signature Networks for Longitudinal Language Modelling. CoRR abs/2312.03523 (2023)
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