15 citations · 17 across the 16 of their papers we have counts for
4 papers · 1 filter
Improving Neural Retrieval with Attribution-Guided Query Rewriting
Moncef Garouani, Josiane Mothe
Neural retrievers are effective but brittle: underspecified or ambiguous queries can misdirect ranking even when relevant documents exist. Existing approaches address this brittlen…
Uncovering the Limitations of Query Performance Prediction: Failures, Insights, and Implications for Selective Query Processing
Adrian-Gabriel Chifu, Sébastien Déjean, Josiane Mothe +3
Query Performance Prediction (QPP) estimates retrieval systems effectiveness for a given query, offering valuable insights for search effectiveness and query processing. Despite ex…
Dense Retrieval for Low Resource Languages -- the Case of Amharic Language
Tilahun Yeshambel, Moncef Garouani, Serge Molina +1
This paper reports some difficulties and some results when using dense retrievers on Amharic, one of the low-resource languages spoken by 120 millions populations. The efforts put…
Can we predict QPP? An approach based on multivariate outliers
Adrian-Gabriel Chifu, Sébastien Déjean, Moncef Garouani +3
Query performance prediction (QPP) aims to forecast the effectiveness of a search engine across a range of queries and documents. While state-of-the-art predictors offer a certain…