• Picture of Quentin Fournier

    Domaines de recherche: Apprentissage permanent, Traitement du langage naturel

Activité

  • Fellow de Recherche: jan. 2024 - maintenant
  • Chercheur postdoctoral: jan. 2023 - jan. 2024

Prépublications

Articles de conférence et de revue

2025

  1. Manifold Metric: A Loss Landscape Approach for Predicting Model Performance
    , , Ariside Baratin, et
    Conference on Lifelong Learning Agents (CoLLAs), 2025.
    #DL
    [arXiv]

  2. Combining Domain and Alignment Vectors Provides Better Knowledge-Safety Trade-offs in LLMs
    , , Matthew Riemer, Pin-Yu Chen, Amal Zouaq, Payel Das et
    Annual Meeting of the Association for Computational Linguistics (ACL), 2025.
    #NLP
    [arXiv]

  3. Small Encoders Can Rival Large Decoders in Detecting Groundedness
    , , , Fernando Rodriguez, Alaa Boukhary, Adam Elwood et
    Findings of the Association for Computational Linguistics (ACL), 2025.
    #NLP

  4. NeoBERT: A Next Generation BERT
    , , Mariam El Mezouar et
    Transactions on Machine Learning Research (TMLR), 2025.
    #NLP
    [openreview]

2024

  1. Exploring Quantization for Efficient Pre-Training of Transformer Language Models
    , , et
    Findings of the Association for Computational Linguistics (EMNLP), 2024.
    #NLP, #DL
    [acl], [arXiv]

  2. A deep-dive into the tradeoffs of preference alignment with PEFT
    , , Matthew Riemer, Pin-Yu Chen, Amal Zouaq, Payel Das et
    Annual Meeting of the Association for Computational Linguistics (ACL), 2024.
    #NLP
    [acl], [arXiv]