{"links":{"self":"http://dataportal.arc.gov.au/NCGP/API/grants/FT250100092"},"data":{"type":"grant-details","id":"FT250100092","attributes":{"code":"FT250100092","administering-organisation":"The University of New South Wales","announcement-administering-organisation":"Macquarie University","scheme-name":"ARC Future Fellowships","grant-status":"Active","funding-commencement-year":2025,"years-funded":4,"project-start-date":"2025-07-01","anticipated-end-date":"2029-06-30","grant-summary":"Advancing Steerable LLM-powered Agents for Dynamic Multimodal Interactions. This project aims to develop advanced, interactive AI systems by leveraging large language models (LLMs) to create adaptive, multimodal agents that are capable of understanding and interacting through texts, images, and audios. The research will revolutionise decision-making, planning, and alignment with user preferences by advancing multimodal alignment techniques and reinforcement learning. The significance lies in addressing current limitations and making AI adaptive, context-aware, and responsive in real-world scenarios. Expected outcomes include transforming AI performance in dynamic environments such as manufacturing and education, with benefits including scholarly advancements and practical applications in user-centered AI systems. ","funding-current":1310192.00,"funding-at-announcement":1282368,"investigators-current":[{"title":"Prof","firstName":"Lina","familyName":"Yao","roleName":"Future Fellowship","roleCode":"FT","isFellowship":true,"orcidIdentifier":"0000-0002-4149-839X "}],"investigators-at-announcement":[{"title":"Prof","firstName":"Lina","familyName":"Yao","roleName":"Future Fellowship","roleCode":"FT","isFellowship":true,"orcidIdentifier":"0000-0002-4149-839X "}],"organisations-current":[{"organisationName":"The University of New South Wales","roleName":"Administering Organisation","state":"NSW"}],"organisations-at-announcement":[{"organisationName":"Macquarie University","roleName":"Administering Organisation","state":"NSW"}],"field-of-research":[{"isPrimary":true,"code":"4605","name":"Data Management and Data Science","type":"FOR20"},{"isPrimary":false,"code":"460501","name":"Data Engineering and Data Science","type":"FOR20"},{"isPrimary":false,"code":"460502","name":"Data Mining and Knowledge Discovery","type":"FOR20"},{"isPrimary":false,"code":"460510","name":"Recommender Systems","type":"FOR20"}],"socio-economic-objective":[{"code":"220302","name":"Electronic Information Storage and Retrieval Services","type":"SEO20"},{"code":"220408","name":"Information Systems","type":"SEO20"}],"international-collaboration":["Austria","United States of America"],"lief-register":[],"achievement-summary":null,"national-interest-test-statement":"This project focuses on developing advanced interactive AI systems that leverage large language models (LLMs) to create adaptive, intelligent agents that are capable of making better decisions, planning effectively, and responding to user preferences. It addresses the current AI gaps in handling complex, real-world scenarios, such as long-term decision-making and personalised interactions. By improving AI's capabilities in sectors like energy management, and education, this research aims to significantly enhance the performance and reliability of AI systems in Australia. The potential benefits for Australians are substantial. Economically, the project will drive innovation and job creation in high-growth areas like AI, manufacturing, and energy. Socially, it will lead to more personalised and efficient services, improving outcomes in areas like education and support for older populations. Environmentally, the AI systems developed will optimise renewable energy management, contributing to Australia’s sustainability goals. To maximize the impact of this research, we will actively engage with industry, government, and community stakeholders. This will ensure that the outcomes are translated into practical applications, thereby focusing on real-world adoption. The project aims to drive widespread understanding and integration of advanced AI technologies in Australia's key sectors by promoting the results through public outreach, industry partnerships, and policy discussions.\n"}}}