Neural language models have revolutionised natural language processing (NLP) and have provided state-of-the-art results for many tasks. However, their effectiveness is largely dependent on the pre-training resources. Therefore, language models (LMs) often struggle with low-resource languages in both training and evaluation. Recently, there has been a growing trend in developing and adopting LMs for low-resource languages. LoResLM aims to provide a forum for researchers to share and discuss their ongoing work on LMs for low-resource languages. LoResLM 2025 will be a physical workshop co-located with COLING 2025, Abu Dhabi on 20th January 2025. We are pleased to share the programme of LoResLM 2025 with you. Please visit https://loreslm.github.io/program for the full programme. To register for the workshop, please visit https://coling2025.org/registration/ We are looking forward to welcoming you at LoResLM 2025 in Abu Dhabi. The workshop is supported in part by CLARIN-UK, funded by the Arts and Humanities Research Council as part of the Infrastructure for Digital Arts and Humanities programme.

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Keynote Speaker

Jose Camacho-Collados, Cardiff University.

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Organising Committee

Hansi Hettiarachchi, Lancaster University, UK Tharindu Ranasinghe, Lancaster University, UK Paul Rayson, Lancaster University, UK Ruslan Mitkov, Lancaster University, UK Mohamed Gaber, Birmingham City University, UK Damith Premasiri, Lancaster University, UK Fiona Anting Tan, National University of Singapore, Singapore Lasitha Uyangodage, University of Münster, Germany

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Programme Committee

Gábor Bella - IMT Atlantique, France Samuel Cahyawijaya - The Hong Kong University of Science and Technology, Hong Kong Burcu Can - University of Stirling, UK Çağrı Çöltekin - University of Tübingen, Germany Raj Dabre - National Institute of Information and Communications Technology, Japan Vera Danilova - Uppsala University, Sweden Debashish Das - Birmingham City University, UK Ona de Gibert - University of Helsinki, Finland Alphaeus Dmonte - George Mason University, USA Bonaventure F. P. Dossou - McGill University, Canada Daan van Esch - Google Ignatius Ezeani - Lancaster University, UK Anna Furtado - University of Galway, Ireland Amal Htait - Aston University, UK Ali Hürriyetoğlu - Wageningen University & Research, Netherlands Danka Jokic - University of Belgrade, Serbia Diptesh Kanojia - University of Surrey, UK Daisy Lal - Lancaster University, UK Colin Leong - University of Dayton, USA Veronika Lipp - Hungarian Research Centre for Linguistics, Hungary Muhidin Mohamed - Aston University, UK Farhad Nooralahzadeh - University of Zurich, Switzerland Rrubaa Panchendrarajan - Queen Mary University of London, UK Nadeesha Pathirana - Aston University, UK Alistair Plum - University of Luxembourg, Luxembourg Nishat Raihan - George Mason University, USA Omid Rohanian - University of Oxford, UK Sandaru Seneviratne - Australian National University, Australia Ravi Shekhar - University of Essex, UK Archchana Sindhujan - University of Surrey, UK Claytone Sikasote - University of Cape Town, South Africa Marjana Prifti Skenduli - University of New York Tirana, Albania Uthayasanker Thayasivam - University of Moratuwa, Sri Lanka Taro Watanabe - Nara Institute of Science and Technology, Japan John Vidler - Lancaster University, UK Phil Weber - Aston University, UK Bryan Wilie - Hong Kong University of Science & Technology, Hong Kong Artūrs Znotiņš - University of Latvia, Latvia

URL - https://loreslm.github.io/ Twitter - https://x.com/LoResLM2025

Dr Tharindu Ranasinghe School of Computing and Communications | Lancaster University Contact me on Teamshttps://teams.microsoft.com/l/chat/0/0?users=t.ranasinghe@lancaster.ac.uk www.lancaster.ac.ukhttps://www.lancaster.ac.uk/