Lina Conti

PhD Student

    Short bio

    Lina Conti is a PhD student at the Fondazione Bruno Kessler and the University of Trento (Italy), specializing in the interpretability of multilingual and multimodal foundation models for translation.

    She holds a master's degree in Computational Linguistics from Université Paris Cité (France) and bachelor's degrees in Computer Science and in Philosophy from Sorbonne University (France).

    Research topics


    • interpretability

    • machine translation

    • language models

    Publications

    1. Conti, Lina; Wisniewski, Guillaume,
      Using Artificial French Data to Understand the Emergence of Gender Bias in Transformer Language Models,
      Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing,
      2023
      , pp. 10362-
      10371

    MT Group at FBK Follow

    #MachineTranslation Research Unit @FBK_research. #nlproc #deeplearning #ai

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    Avatar Marco Gaido @mgaido91 ·
    26 May

    🚀 New shared task at #WMT2025 (co-located with @emnlpmeeting ): Model Compression for Machine Translation!
    Can you shrink an LLM and keep translation quality high?🔧
    Submit by July 3 and push the limits of efficient NLP!
    👉 https://www2.statmt.org/wmt25/model-compression.html #NLP #ML #LLM #ModelCompression

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    Avatar Dennis Fucci @dennisfucci ·
    19 May

    More great news! 🎉
    Our paper “Echoes of Phonetics: Unveiling Relevant Acoustic Cues for ASR via Feature Attribution” was accepted at #Interspeech2025!

    Interested in interpretability for speech models? Preprint coming soon!

    ✍🏼 @mgaido91, @negri_teo, M.Cettolo, @luisabentivogli

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    Avatar Fondazione Bruno Kessler - FBK @fbk_research ·
    14 May

    SHADES: a global dataset to uncover AI bias
    Over 50 researchers, 16 languages, thousands of interactions analysed: the international SHADES project investigates how generative language models (LLM) reproduce and amplify cultural stereotypes

    ◾https://magazine.fbk.eu/en/news/shades-the-new-global-dataset-to-monitor-as-ai-reproduces-and-invents-cultural-stereotypes/

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