Common Sense Reasoning
PI: Surangika Ranathunga
The Common Sense Reasoning project focuses on advancing culturally grounded evaluation and knowledge representation for language-based artificial intelligence systems.
PI: Surangika Ranathunga
The Common Sense Reasoning project focuses on advancing culturally grounded evaluation and knowledge representation for language-based artificial intelligence systems.
PI: Nisansa de Silva
The Knowledge Representation project investigates methods for structuring, aligning, and reasoning over knowledge extracted from language, with particular emphasis on low-resource settings, domain-specific semantics, and intelligent information access.
PI: Nisansa de Silva
The LLM Multi-agent Systems project explores how large language models can be coordinated as interacting agents to perform complex reasoning, cooperation, and task execution in natural language environments.
PI: Nisansa de Silva
We propose to advance natural language processing for low-resource settings by leveraging data augmentation, transfer learning, and model adaptation techniques to overcome the scarcity of annotated data and linguistic resources.
PI: Nisansa de Silva
This project attempts to generate adventures, images, and encounters for Dungeons and Dragons, the world's most popular Table Top Role Playing Game.
PI: Nisansa de Silva
This project delves into the synergy between Natural Language Processing (NLP) and the legal domain, presenting novel solutions to enduring challenges.
PI: Nisansa de Silva
We propose to build and analyze Sinhala language resources, datasets, and models to strengthen NLP research for this low-resource language, while connecting it to English and Tamil through bilingual lexicons, embeddings, and cross-lingual methods.
PI: Nisansa de Silva
We propose to advance automatic summarization and generation techniques, with a focus on aspect-aware methods that capture fine-grained information and sentiment within concise textual representations.
Theses: MSc Minor Component Research
Pubudu Cooray, "Headline Generation for Sinhala Newspaper Articles using Pre-trained Language Models", University of Moratuwa, 2025
Dushan Kumarasinghe, "Automatic Generation of Research Paper Abstracts using Deep-Hybrid Models", University of Moratuwa, 2025
Sadeep Gunathilaka, "Automated User Review Analysis To Facilitate Potential Mobile Application Evolution", University of Moratuwa, 2025
Akila Peiris, "Dungeons \& Dragons Fantasy Adventure Generation", University of Moratuwa, 2024
Conference Papers
Rajith Arulanandam and Nisansa De Silva, "Section-Weighted Hybrid Approach for Legal Case Retrieval", in 2026 8th International Conference on Natural Language Processing (ICNLP), 2026, pp. 567--571. doi: 10.1109/ICNLP69856.2026.11527762
K M Hewapathirana, Nisansa de Silva, and C D Athuraliya, "Adapter-Based Multi-Document Summarisation: Opinion Summarisation Use Case", in Proceedings of the 18th International Conference on Agents and Artificial Intelligence - Volume 4: ICAART, SciTePress, 2026, pp. 3018-3027. doi: 10.5220/0014349400004052 
Kavindu Warnakulasuriya, Prabhash Dissanayake, Navindu De Silva, Stephen Cranefield, Bastin Tony Roy Savarimuthu, Surangika Ranathunga, and Nisansa de Silva, "Evolution of Cooperation in LLM-Agent Societies: A Preliminary Study Using Different Punishment Strategies", in Coordination, Organizations, Institutions, Norms, and Ethics for Governance of Multi-Agent Systems XVIII, Springer Nature Switzerland, 2026, pp. 115--133. doi: 10.1007/978-3-032-17542-7_7
Aravinth Sivaganeshan, Nisansa de Silva, and Akila Peiris, "Fine-tuning an LLM to Generate Lore Coherent Encounters for Dungeons and Dragons", in Proceedings of the 39th Pacific Asia Conference on Language, Information and Computation, 2025, pp. 710--722.
Oshadha Wijerathne, Amandi Nimasha, Dushan Fernando, Nisansa de Silva, and Srinath Perera, "ScheduleMe: Multi-Agent Calendar Assistant", in Proceedings of the 39th Pacific Asia Conference on Language, Information and Computation, 2025, pp. 309--319.
Imalsha Puranegedara, Themira Chathumina, Nisal Ranathunga, Nisansa de Silva, Surangika Ranathunga, and Mokanarangan Thayaparan, "Utilizing Multilingual Encoders to Improve Large Language Models for Low-Resource Languages", in Moratuwa Engineering Research Conference (MERCon), 2025. doi: 10.1109/MERCon67903.2025.11216992 
H W K Aravinda, Rashad Sirajudeen, Samith Karunathilake, Nisansa de Silva, Surangika Ranathunga, and Rishemjit Kaur, "SinLlama-A Large Language Model for Sinhala", in Moratuwa Engineering Research Conference (MERCon), 2025. doi: 10.1109/MERCon67903.2025.11217094
Sadeep Gunathilaka and Nisansa de Silva, "Automatic Analysis of App Reviews Using LLMs", in Proceedings of the Conference on Agents and Artificial Intelligence, 2025, pp. 828-839. doi: 10.5220/0013375600003890 
Workshop Papers
Ovindu Atukorala, Randeepa Appuhami, and Nisansa de Silva, "LawChain: A Resource-Efficient Blueprint for Legal Information Retrieval in Low-Resource Jurisdictions", in ICML 2026 GlobalSouthML, 2026.
Preprints
Nisansa de Silva and Surangika Ranathunga, "Sinhala Physical Common Sense Reasoning Dataset for Global PIQA", arXiv preprint arXiv:2602.02207, 2026. doi: 10.48550/arXiv.2602.02207
Akesh Gunathilake, Nadil Karunarathne, Tharusha Bandaranayake, Nisansa de Silva, and Surangika Ranathunga, "LMSpell: Neural Spell Checking for Low-Resource Languages", arXiv preprint arXiv:2512.05414, 2025
Tyler A Chang, Catherine Arnett, Abdelrahman Eldesokey, Abdelrahman Sadallah, Abeer Kashar, Abolade Daud, Abosede Grace Olanihun, Adamu Labaran Mohammed, Adeyemi Praise, Adhikarinayum Meerajita Sharma, and others, "Global PIQA: Evaluating Physical Commonsense Reasoning Across 100+ Languages and Cultures", arXiv preprint arXiv:2510.24081, 2025
