44 citations · 60 across the 6 of their papers we have counts for
6 papers
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…
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…
Can Generative LLMs Create Query Variants for Test Collections? An Exploratory Study
Marwah Alaofi, Luke Gallagher, Mark Sanderson +2
This paper explores the utility of a Large Language Model (LLM) to automatically generate queries and query variants from a description of an information need. Given a set of infor…
LLMs can be Fooled into Labelling a Document as Relevant (best café near me; this paper is perfectly relevant)
Marwah Alaofi, Paul Thomas, Falk Scholer +1
LLMs are increasingly being used to assess the relevance of information objects. This work reports on experiments to study the labelling of short texts (i.e., passages) for relevan…
Generative Information Retrieval Evaluation
Marwah Alaofi, Negar Arabzadeh, Charles L. A. Clarke +1
In this chapter, we consider generative information retrieval evaluation from two distinct but interrelated perspectives. First, large language models (LLMs) themselves are rapidly…
ZzzGPT: An Interactive GPT Approach to Enhance Sleep Quality
Yonchanok Khaokaew, Kaixin Ji, Thuc Hanh Nguyen +4
This paper explores the intersection of technology and sleep pattern comprehension, presenting a cutting-edge two-stage framework that harnesses the power of Large Language Models…