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publications
BERTweetFR: Domain adaptation of pre-trained language models for French tweets
Published in WNUT@EMNLP, 2021
We introduce BerttweetFR, a model trained to understand french tweets
Recommended citation: Yanzhu Guo, Virgile Rennard, Christos Xypolopoulos, Michalis Vazirgiannis
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Automatic Analysis of Substantiation in Scientific Peer Reviews
Published in EMNLP Findings 2023, 2023
This paper presents the SubstanReview metric for evaluating academic review consistency
Recommended citation: Yanzhu Guo, Guokan Shang, Virgile Rennard, Michalis Vazirgiannis, Chloé Clavel
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Abstractive Meeting Summarization: A Survey
Published in TACL, 2023
This paper presents a survey and an introduction to the task of Abstractive Meeting Summarization
Recommended citation: Virgile Rennard, Guokan Shang, Julie Hunter, Michalis Vazirgiannis
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FREDSum: A Dialogue Summarization Corpus for French Political Debates
Published in EMNLP Findings 2023, 2023
This paper presents the FREDSum dataset for french abstractive debate summarization
Recommended citation: Virgile Rennard, Guokan Shang, Damien Grari, Julie Hunter, Michalis Vazirgiannis
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Leveraging Discourse Structure for Extractive Meeting Summarization
Published in Under Review, 2024
This paper presents a novel method for extractive meeting summarization leveraging SDRT. It goes into details to evaluate the role of SDRT in this downstream task
Recommended citation: Virgile Rennard, Guokan Shang, Michalis Vazirgiannis, Julie Hunter
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MODEL: Large Language Models for Spontaneous French Dialogue
Published in TALN, 2024
This paper presents the technical report for the training of the CLAIRE model.
Recommended citation: Jérôme Louradour, Julie Hunter, Ismaïl Harrando, Guokan Shang, Virgile Rennard, Jean-pierre Lorré
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Bias in the Mirror: Are LLMs opinions robust to their own adversarial attacks?
Published in Under Review, 2024
We introduce the self-debate framework through which we evaluate political and cultural biases present in large language models
Recommended citation: Virgile Rennard, Christos Xypolopoulos, Michalis Vazirgiannis
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talks
Talk 1 on Relevant Topic in Your Field
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This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
17.839: AI and Political Science
Graduate course, MIT, Department of Political Science, 2025
I am teaching MIT’s graduate course 17.839 on AI and Political Science in the Spring 2025-2026 term. This course explores the intersection of artificial intelligence and political science, covering topics such as AI governance, democratic deliberation, computational political science, and the societal implications of AI systems.