15 citations · 35 across the 8 of their papers we have counts for
8 papers
SPLADE v2: Sparse Lexical and Expansion Model for Information Retrieval
Thibault Formal, Carlos Lassance, Benjamin Piwowarski +1
In neural Information Retrieval (IR), ongoing research is directed towards improving the first retriever in ranking pipelines. Learning dense embeddings to conduct retrieval using…
Efficient Inference for Multilingual Neural Machine Translation
Alexandre Berard, Dain Lee, Stéphane Clinchant +2
Multilingual NMT has become an attractive solution for MT deployment in production. But to match bilingual quality, it comes at the cost of larger and slower models. In this work,…
Masked Adversarial Generation for Neural Machine Translation
Badr Youbi Idrissi, Stéphane Clinchant
Attacking Neural Machine Translation models is an inherently combinatorial task on discrete sequences, solved with approximate heuristics. Most methods use the gradient to attack t…
SPLADE: Sparse Lexical and Expansion Model for First Stage Ranking
Thibault Formal, Benjamin Piwowarski, Stéphane Clinchant
In neural Information Retrieval, ongoing research is directed towards improving the first retriever in ranking pipelines. Learning dense embeddings to conduct retrieval using effic…
A White Box Analysis of ColBERT
Thibault Formal, Benjamin Piwowarski, Stéphane Clinchant
Transformer-based models are nowadays state-of-the-art in ad-hoc Information Retrieval, but their behavior is far from being understood. Recent work has claimed that BERT does not…
On the use of BERT for Neural Machine Translation
Stéphane Clinchant, Kweon Woo Jung, Vassilina Nikoulina
Exploiting large pretrained models for various NMT tasks have gained a lot of visibility recently. In this work we study how BERT pretrained models could be exploited for supervise…