4 citations · 6 across the 4 of their papers we have counts for
4 papers · 1 filter
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…
TSSuBERT: Tweet Stream Summarization Using BERT
Alexis Dusart, Karen Pinel-Sauvagnat, Gilles Hubert
The development of deep neural networks and the emergence of pre-trained language models such as BERT allow to increase performance on many NLP tasks. However, these models do not…
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…
Everything You Always Wanted to Know About TREC RTS* (*But Were Afraid to Ask)
Gilles Hubert, Jose G. Moreno, Karen Pinel-Sauvagnat +1
The TREC Real-Time Summarization (RTS) track provides a framework for evaluating systems monitoring the Twitter stream and pushing tweets to users according to given profiles. It i…