22 citations · 65 across the 12 of their papers we have counts for
9 papers · 1 filter
RMIT-ADM+S at the MMU-RAG NeurIPS 2025 Competition
Kun Ran, Marwah Alaofi, Danula Hettiachchi +9
This paper presents the award-winning RMIT-ADM+S system for the Text-to-Text track of the NeurIPS~2025 MMU-RAG Competition. We introduce Routing-to-RAG (R2RAG), a research-focused…
Stairway to Fairness: Connecting Group and Individual Fairness
Theresia Veronika Rampisela, Maria Maistro, Tuukka Ruotsalo +2
Fairness in recommender systems (RSs) is commonly categorised into group fairness and individual fairness. However, there is no established scientific understanding of the relation…
Demographically-Inspired Query Variants Using an LLM
Marwah Alaofi, Nicola Ferro, Paul Thomas +2
This study proposes a method to diversify queries in existing test collections to reflect some of the diversity of search engine users, aligning with an earlier vision of an 'ideal…
The Effects of Demographic Instructions on LLM Personas
Angel Felipe Magnossão de Paula, J. Shane Culpepper, Alistair Moffat +3
Social media platforms must filter sexist content in compliance with governmental regulations. Current machine learning approaches can reliably detect sexism based on standardized…
Control Search Rankings, Control the World: What is a Good Search Engine?
Simon Coghlan, Hui Xian Chia, Falk Scholer +1
This paper examines the ethical question, 'What is a good search engine?' Since search engines are gatekeepers of global online information, it is vital they do their job ethically…
Multi-stage Large Language Model Pipelines Can Outperform GPT-4o in Relevance Assessment
Julian A. Schnabel, Johanne R. Trippas, Falk Scholer +1
The effectiveness of search systems is evaluated using relevance labels that indicate the usefulness of documents for specific queries and users. While obtaining these relevance la…