3 citations · 5 across the 3 of their papers we have counts for
3 papers
Benchmarking Middle-Trained Language Models for Neural Search
Hervé Déjean, Stéphane Clinchant, Carlos Lassance +2
Middle training methods aim to bridge the gap between the Masked Language Model (MLM) pre-training and the final finetuning for retrieval. Recent models such as CoCondenser, RetroM…
An Experimental Study on Pretraining Transformers from Scratch for IR
Carlos Lassance, Hervé Déjean, Stéphane Clinchant
Finetuning Pretrained Language Models (PLM) for IR has been de facto the standard practice since their breakthrough effectiveness few years ago. But, is this approach well understo…
LayoutXLM vs. GNN: An Empirical Evaluation of Relation Extraction for Documents
Hervé Déjean, Stéphane Clinchant, Jean-Luc Meunier
This paper investigates the Relation Extraction task in documents by benchmarking two different neural network models: a multi-modal language model (LayoutXLM) and a Graph Neural N…