ActivePI: 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.
ActivePI: 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.
Conference Papers
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
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.
