About Me
Responsible AI | NLP & AI Fairness | AI for Social Good
Welcome! I am a PhD candidate in Natural Language Processing at RMIT University, specialising in fairness and bias mitigation in NLP systems. My research focuses on developing responsible AI solutions that address equity concerns in automated systems.
Research Interests
- NLP
- Evaluation
- Summarisation
- Ethics, bias & fairness
- Responsible AI
Research
My research explores fairness and bias mitigation in Natural Language Processing. I develop evaluation methodologies and mitigation techniques to ensure AI systems produce equitable outcomes across diverse populations and viewpoints.
Selected Publications
REFER: Mitigating Bias in Opinion Summarisation via Frequency Framed Prompting
In Proceedings of The 5th New Frontiers in Summarization Workshop (EMNLP2025), pages 74–93, Suzhou, China. Association for Computational Linguistics.
Bias in Opinion Summarisation from Pre-training to Adaptation: A Case Study in Political Bias
In In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1041–1055, St. Julian’s, Malta. Association for Computational Linguistics.
Examining Bias in Opinion Summarisation through the Perspective of Opinion Diversity
In In Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis (ACL 2023), pages 149–161, Toronto, Canada. Association for Computational Linguistics.