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,
      Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing,
      2023
      , pp. 10362-
      10371

    🚀 New tech report out! Meet FAMA, our open-science speech foundation model family for both ASR and ST in 🇬🇧 English and 🇮🇹 Italian.

    The models are live and ready to try on @huggingface 👇
    🔗

    #ASR #ST #OpenScience #MultilingualAI

    🚀 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

    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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