7 citations · 14 across the 5 of their papers we have counts for
7 papers
An Evaluation Framework for Attributed Information Retrieval using Large Language Models
Hanane Djeddal, Pierre Erbacher, Raouf Toukal +4
With the growing success of Large Language models (LLMs) in information-seeking scenarios, search engines are now adopting generative approaches to provide answers along with in-li…
Probing Pretrained Language Models with Hierarchy Properties
Jesús Lovón-Melgarejo, Jose G. Moreno, Romaric Besançon +2
Since Pretrained Language Models (PLMs) are the cornerstone of the most recent Information Retrieval (IR) models, the way they encode semantic knowledge is particularly important.…
Does Structure Matter? Leveraging Data-to-Text Generation for Answering Complex Information Needs
Hanane Djeddal, Thomas Gerald, Laure Soulier +2
In this work, our aim is to provide a structured answer in natural language to a complex information need. Particularly, we envision using generative models from the perspective of…
Studying Catastrophic Forgetting in Neural Ranking Models
Jesus Lovon-Melgarejo, Laure Soulier, Karen Pinel-Sauvagnat +1
Several deep neural ranking models have been proposed in the recent IR literature. While their transferability to one target domain held by a dataset has been widely addressed usin…
DSRIM: A Deep Neural Information Retrieval Model Enhanced by a Knowledge Resource Driven Representation of Documents
Gia-Hung Nguyen, Laure Soulier, Lynda Tamine +1
The state-of-the-art solutions to the vocabulary mismatch in information retrieval (IR) mainly aim at leveraging either the relational semantics provided by external resources or t…
Toward a Deep Neural Approach for Knowledge-Based IR
Gia-Hung Nguyen, Lynda Tamine, Laure Soulier +1
This paper tackles the problem of the semantic gap between a document and a query within an ad-hoc information retrieval task. In this context, knowledge bases (KBs) have already b…
Learning to Match for Multi-criteria Document Relevance
Bilel Moulahi, Lynda Tamine, Sadok Ben Yahia
In light of the tremendous amount of data produced by social media, a large body of research have revisited the relevance estimation of the users' generated content. Most of the st…