explainability 1llm reranking 1pseudo-relevance feedback 1query drift 1selective retrieval 1user auditing 1
From the 1 of 2 linked papers with an AI index.
2 papers
cs.IR2026
Explaining When PRF Fails: Participatory Auditing for Selective Query Expansion
Zeyan Liang, Graham McDonald, Iadh Ounis
The paper investigates why pseudo-relevance feedback (PRF) harms many queries and introduces a two‑stage audit‑then‑automate framework that uses user audits and LLM‑based rerankers…
cs.IR2025
Document Similarity Enhanced IPS Estimation for Unbiased Learning to Rank
Zeyan Liang, Graham McDonald, Iadh Ounis
Learning to Rank (LTR) models learn from historical user interactions, such as user clicks. However, there is an inherent bias in the clicks of users due to position bias, i.e., us…