activity
20212026
most citedA Survey on Task Assignment in Crowdsourcing

77 citations · 158 across the 21 of their papers we have counts for

collaborators
Showing 2026Show all

6 papers · 1 filter

cs.HC2026

Explanation Navigator: Rectifying Out-of-Scope Human Interpretations of Leaky AI Explanations through Conversational Guidance

Yueqing Xuan, Kacper Sokol, Danula Hettiachchi

As explanations of artificial intelligence systems proliferate, their recipients must grasp not only what they convey but also recognise what they cannot. We conducted an interview…

cs.IR2026

The "Curse of Knowledge" in LLM Query Simulation: Concept Provenance for Tracing Answer-Side Intrusion

Chenglong Ma, Xinye Wanyan, Danula Hettiachchi +2

LLM-generated search queries are widely used to augment IR evaluation, yet they may contain concepts that presuppose answer-side document knowledge, violating the information-acces…

cs.IR2026

Verifiable User Simulation for Search and Recommendation Systems

Chenglong Ma, Xinye Wanyan, Danula Hettiachchi +3

Large-language-model (LLM) based user simulation is increasingly adopted for evaluating search engines, recommender systems, and retrieval-augmented generation pipelines, yet most…

cs.IR2026

Task-Aware Automated User Profile Generation for Recommendation Simulation Using Large Language Models

Xinye Wanyan, Chenglong Ma, Danula Hettiachchi +2

Large Language Model (LLM)-based agent simulation has emerged as a promising approach to meet the increasing demand for real-time and rigorous evaluation in modern recommender syst…

cs.HC2026

Applying Value Sensitive Design to Location-Based Services: Designing for Shared Spaces and Local Conditions

Hiruni Kegalle, Flora D. Salim, Mark Sanderson +2

Location-Based Services (LBS) such as ride-sharing, accommodation, food delivery, and location-driven social media platforms entangle digital systems with physical spaces, thereby…

cs.IR2026

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…