Lucas Resck

PhD student in NLP at Cambridge

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I am a first-year PhD student in Computation, Cognition and Language at the Language Technology Lab at the University of Cambridge, supervised by Prof. Anna Korhonen and Prof. Isabelle Augenstein under the ELLIS PhD Program. I am a Girton College member and a Cambridge Trust scholar. My research interests are machine learning, natural language processing and explainable AI.

Previously, I was a researcher at the Visual Data Science Lab at Fundação Getulio Vargas (FGV) in Rio de Janeiro, Brazil, conducting research on similar topics. I hold an MSc in Mathematical Modeling (2024) and a BSc in Applied Mathematics (2021) from the School of Applied Mathematics at FGV.

In 2022, I was a visiting researcher at the Vision, Language, and Learning Lab at Rice University, Houston. I also have experience applying computational methods to solve legal problems.

news

Aug 20, 2025 My survey on the explainability of multilingual LLMs has been accepted at EMNLP 2025 🇨🇳!
Jul 21, 2025 I am volunteering at UAI 2025, in Rio de Janeiro, Brazil 🇧🇷.
Jul 11, 2025 My paper LegalAnalytics has been published in Artificial Intelligence and Law.

selected publications

  1. EMNLP 2025
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    Explainability and Interpretability of Multilingual Large Language Models: A Survey
    Lucas ResckIsabelle Augenstein, and Anna Korhonen
    In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , Nov 2025
    Accepted for publication
  2. Exploring the Trade-off Between Model Performance and Explanation Plausibility of Text Classifiers Using Human Rationales
    Lucas Resck, Marcos M. Raimundo, and Jorge Poco
    In Findings of the Association for Computational Linguistics: NAACL 2024 . Also presented as a poster at the LatinX in NLP at NAACL 2024 workshop , Jun 2024
  3. Distill n’ Explain: explaining graph neural networks using simple surrogates
    Tamara Pereira, Erik Nascimento, Lucas E. ResckDiego Mesquita, and Amauri Souza
    In Proceedings of The 26th International Conference on Artificial Intelligence and Statistics , Apr 2023