17 citations · 17 across the 3 of their papers we have counts for
3 papers
cs.AI2026
Few-Shot Out of Domain Intent Detection with Covariance Corrected Mahalanobis Distance
Jayasimha Talur, Oleg Smirnov, Paul Missault
Conversational agents like chatbots and voice assistants are trained to understand and respond to user intents. On encountering an utterance with an intent different from the ones…
cs.IR2024
Deep Domain Specialisation for single-model multi-domain learning to rank
Paul Missault, Abdelmaseeh Felfel
Information Retrieval (IR) practitioners often train separate ranking models for different domains (geographic regions, languages, stores, websites,...) as it is believed that excl…
cs.IR2023★ 17 cited
RankFormer: Listwise Learning-to-Rank Using Listwide Labels
Maarten Buyl, Paul Missault, Pierre-Antoine Sondag
Web applications where users are presented with a limited selection of items have long employed ranking models to put the most relevant results first. Any feedback received from us…