3 papers
cs.IR2026
Rank, Don't Generate: Statement-level Ranking for Explainable Recommendation
Ben Kabongo, Arthur Satouf, Vincent Guigue
Textual explanations, generated with large language models (LLMs), are increasingly used to justify recommendations. Yet, evaluating these explanations remains a critical challenge…
cs.IR2026
QueStER: Query Specification for Generative keyword-based Retrieval
Arthur Satouf, Yuxuan Zong, Habiboulaye Amadou-Boubacar +2
Generative retrieval (GR) differs from the traditional index-then-retrieve pipeline by storing relevance in model parameters and generating retrieval cues directly from the query,…
cs.IR2025
Rational Retrieval Acts: Leveraging Pragmatic Reasoning to Improve Sparse Retrieval
Arthur Satouf, Gabriel Ben Zenou, Benjamin Piwowarski +2
Current sparse neural information retrieval (IR) methods, and to a lesser extent more traditional models such as BM25, do not take into account the document collection and the comp…