activity
20192025
most citedCan Generative LLMs Create Query Variants for Test Collections? An Exploratory Study

44 citations · 121 across the 9 of their papers we have counts for

collaborators

9 papers

cs.IR2025★ 44 cited

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…

cs.IR2025

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…

cs.AI2023★ 8 cited

i-Align: an interpretable knowledge graph alignment model

Bayu Distiawan Trisedya, Flora D Salim, Jeffrey Chan +3

Knowledge graphs (KGs) are becoming essential resources for many downstream applications. However, their incompleteness may limit their potential. Thus, continuous curation is need…

cs.IR2023★ 9 cited

Designing and Evaluating Presentation Strategies for Fact-Checked Content

Danula Hettiachchi, Kaixin Ji, Jenny Kennedy +5

With the rapid growth of online misinformation, it is crucial to have reliable fact-checking methods. Recent research on finding check-worthy claims and automated fact-checking hav…

cs.IR2023★ 12 cited

Examining the Impact of Uncontrolled Variables on Physiological Signals in User Studies for Information Processing Activities

Kaixin Ji, Damiano Spina, Danula Hettiachchi +2

Physiological signals can potentially be applied as objective measures to understand the behavior and engagement of users interacting with information access systems. However, the…

cs.HC2022

Imagining Future Digital Assistants at Work: A Study of Task Management Needs

Yonchanok Khaokaew, Indigo Holcombe-James, Mohammad Saiedur Rahaman +11

Digital Assistants (DAs) can support workers in the workplace and beyond. However, target user needs are not fully understood, and the functions that workers would ideally want a D…

cs.IR2022★ 10 cited

MIMICS-Duo: Offline & Online Evaluation of Search Clarification

Leila Tavakoli, Johanne R. Trippas, Hamed Zamani +2

Asking clarification questions is an active area of research; however, resources for training and evaluating search clarification methods are not sufficient. To address this issue,…

cs.IR2021★ 15 cited

Evaluating Fairness in Argument Retrieval

Sachin Pathiyan Cherumanal, Damiano Spina, Falk Scholer +1

Existing commercial search engines often struggle to represent different perspectives of a search query. Argument retrieval systems address this limitation of search engines and pr…

cs.IR2019★ 23 cited

Answer Interaction in Non-factoid Question Answering Systems

Chen Qu, Liu Yang, Bruce Croft +2

Information retrieval systems are evolving from document retrieval to answer retrieval. Web search logs provide large amounts of data about how people interact with ranked lists of…