3 citations · 7 across the 9 of their papers we have counts for
9 papers
Large language models simulate intersectional synthetic identities with a budget of one to two dimensions
Virgile Rennard, Christos Xypolopoulos
Large language models are increasingly used as synthetic survey respondents, promising cheap access to rare intersectional populations. We test standard demographic-persona methods…
Bias in the Mirror: Are LLMs opinions robust to their own adversarial attacks ?
Virgile Rennard, Christos Xypolopoulos, Michalis Vazirgiannis
Large language models (LLMs) inherit biases from their training data and alignment processes, influencing their responses in subtle ways. While many studies have examined these bia…
Leveraging Discourse Structure for Extractive Meeting Summarization
Virgile Rennard, Guokan Shang, Michalis Vazirgiannis +1
We introduce an extractive summarization system for meetings that leverages discourse structure to better identify salient information from complex multi-party discussions. Using d…
FREDSum: A Dialogue Summarization Corpus for French Political Debates
Virgile Rennard, Guokan Shang, Damien Grari +2
Recent advances in deep learning, and especially the invention of encoder-decoder architectures, has significantly improved the performance of abstractive summarization systems. Th…
The Claire French Dialogue Dataset
Julie Hunter, Jérôme Louradour, Virgile Rennard +3
We present the Claire French Dialogue Dataset (CFDD), a resource created by members of LINAGORA Labs in the context of the OpenLLM France initiative. CFDD is a corpus containing ro…
Automatic Analysis of Substantiation in Scientific Peer Reviews
Yanzhu Guo, Guokan Shang, Virgile Rennard +2
With the increasing amount of problematic peer reviews in top AI conferences, the community is urgently in need of automatic quality control measures. In this paper, we restrict ou…
Abstractive Meeting Summarization: A Survey
Virgile Rennard, Guokan Shang, Julie Hunter +1
A system that could reliably identify and sum up the most important points of a conversation would be valuable in a wide variety of real-world contexts, from business meetings to m…
Political Communities on Twitter: Case Study of the 2022 French Presidential Election
Hadi Abdine, Yanzhu Guo, Virgile Rennard +1
With the significant increase in users on social media platforms, a new means of political campaigning has appeared. Twitter and Facebook are now notable campaigning tools during e…
BERTweetFR : Domain Adaptation of Pre-Trained Language Models for French Tweets
Yanzhu Guo, Virgile Rennard, Christos Xypolopoulos +1
We introduce BERTweetFR, the first large-scale pre-trained language model for French tweets. Our model is initialized using the general-domain French language model CamemBERT which…