Pierre-Antoine Lequeu

Pierre-Antoine Lequeu

PhD Student in Natural Language Processing

Publications

find my articles (and more) on my Google Scholar profile.

Conference Papers

Give it Space! Explicit Disentangling of Positional and Semantic Representations in Encoders

Published in EMNLP, 2026

Preprint - explored how encoder-based models use absolute positional (AP) and relative positional (RP) information by explicitly disentangling positional and semantic representations. We find that the learned AP representations are low dimensional and used to encode document structure, while RP information is used as complementary to semantic matching.

Recommended citation: Lequeu, P. A., Barboule, C., & Piwowarski, B. (2026). Give it Space! Explicit Disentangling of Positional and Semantic Representations in Encoders. arXiv preprint arXiv:2605.30022.
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The GDN-CC Dataset: Automatic Corpus Clarification for AI-enhanced Democratic Citizen Consultations

Published in ACL, 2026

Paper - We introduce Corpus Clarification, a preprocessing framework of citizens consultation data which allow for ethical downstream analysis. We share a manually-annotated dataset based on the 2019 French consultation ‘Grand Débat National’, and a large automatically annotated dataset using SLMs finetuned for the task.

Recommended citation: Pierre-Antoine Lequeu, Léo Labat, Laurène Cave, Gaël Lejeune, François Yvon, and Benjamin Piwowarski. 2026. The GDN-CC Dataset: Automatic Corpus Clarification for AI-enhanced Democratic Citizen Consultations. In Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 32976–33006, San Diego, California, United States. Association for Computational Linguistics.
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Fairbeat: Assessing and Mitigating Bias with the Composite Balance Score

Published in ECML-PKKD (Demo Track), 2025

Proceedings - A user interface for social bias evaluation in tabular datasets.

Recommended citation: Lequeu, P. A., Lagraa, S., Robin, G., & Ouedraogo, M. (2025, September). Fairbeat: Assessing and Mitigating Bias with the Composite Balance Score. In Joint European Conference on Machine Learning and Knowledge Discovery in Databases (pp. 475-480). Cham: Springer Nature Switzerland.
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Preprints

Toward Collective-Centric Evaluation of Preference Inference for Participatory Democracy

Published in preprint, 2026

Preprint - Designed a new evaluation paradigm for preference inference and showed that recommender systems strongly distort the opinion landscape despite showing good results on standard metrics such as accuracy.

Recommended citation: Lequeu, P. A., Hafid, S., Lerner, P., Shafiabadi, N., Cave, L., Mas, D., ... & Yvon, F. (2026). Toward Collective-Centric Evaluation of Preference Inference for Participatory Democracy. arXiv preprint arXiv:2609.02990.
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French Conferences Papers