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- Monash UniversityAU3 papers
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- UNSW SydneyAU3 papers
- Australian Regenerative Medicine InstituteAU2 papers
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- The University of MelbourneAU2 papers
- Amazon (Germany)DE1 paper
- Amazon (United States)US1 paper
- Australian Research CouncilAU1 paper
- Beijing University of Posts and TelecommunicationsCN1 paper
- City University of Hong KongHK1 paper
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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
One Pass, Any Order: Position-Invariant Listwise Reranking for LLM-Based Recommendation
Ethan Bito, Yongli Ren, Estrid He
Large language models (LLMs) are increasingly used for recommendation reranking, but their listwise predictions can depend on the order in which candidates are presented. This crea…