Dennis Fucci

PhD student

    Short bio

    Dennis Fucci is a PhD student in Information Engineering and Computer Science at the University of Trento, affiliated with Fondazione Bruno Kessler.

    He holds a master's degree in Humanities from the University of Bologna, specializing in Computational Linguistics.

    Research topics

    Speech Translation, Automatic Speech Recognition, Machine Translation, Gender Bias, eXplainable AI

    Publications

    1. Fucci, Dennis; Gaido, Marco; Negri, Matteo; Bentivogli, Luisa; Martins, Andre; Attanasio, Giuseppe,
      in «»,
      Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers),
      ,
      vol. ,
      n. ,
      2025
      , pp. 1005-
      1019
    2. Fucci, Dennis; Gaido, Marco; Negri, Matteo; Cettolo, Mauro; Bentivogli, Luisa,
      in «»,
      Proceedings of Interspeech 2025,
      ,
      vol. ,
      n. ,
      2025
      , pp. 206-
      210
    3. Conti, Lina; Fucci, Dennis; Gaido, Marco; Negri, Matteo; Wisniewski, Guillaume; Bentivogli, Luisa,
      in «»,
      Proceedings of the 8th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP,
      Association for Computational Linguistics,
      vol. ,
      n. ,
      2025
      , pp. 398-
      414
    4. Savoldi, Beatrice; Piergentili, Andrea; Fucci, Dennis; Negri, Matteo; Bentivogli, Luisa,
      in «»,
      Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers),
      Association for Computational Linguistics,
      vol. ,
      n. ,
      2024
      , pp. 256-
      267
    5. Fucci, Dennis; Savoldi, Beatrice; Gaido, Marco; Negri, Matteo; Cettolo, Mauro; Bentivogli, Luisa,
      in «»,
      Proceedings of the Tenth Italian Conference on Computational Linguistics (CLiC-it 2024),
      ,
      vol. ,
      n. ,
      2024
      , pp. -
    6. Attanasio, Giuseppe; Savoldi, Beatrice; Fucci, Dennis; Hovy, Dirk,
      in «»,
      Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing,
      Association for Computational Linguistics,
      vol. ,
      n. ,
      2024
      , pp. 21318-
      21340
    7. Piergentili, Andrea; Fucci, Dennis; Savoldi, Beatrice; Bentivogli, Luisa; Negri, Matteo,
      Proceedings of the First Workshop on Gender-Inclusive Translation Technologies (GITT 2023),
      European Association for Machine Translation,
      2023
      , pp. 71-
      83
    8. Gaido, Marco; Fucci, Dennis; Negri, Matteo; Bentivogli, Luisa,
      in «»,
      Proceedings of the 9th Italian Conference on Computational Linguistics,
      ,
      vol. ,
      n. ,
      2023
      , pp. -
    9. Fucci, Dennis; Gaido, Marco; Papi, Sara; Cettolo, Mauro; Negri, Matteo; Bentivogli, Luisa,
      in «»,
      Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing,
      ,
      vol. ,
      n. ,
      2023
      , pp. 11505-
      11517
    10. Fucci, Dennis; Gaido, Marco; Negri, Matteo; Cettolo, Mauro; Bentivogli, Luisa,
      in «»,
      Proceedings of 2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU),
      ,
      vol. ,
      n. ,
      2023
      , pp. -
      8
    11. Piergentili, Andrea; Savoldi, Beatrice; Fucci, Dennis; Negri, Matteo; Bentivogli, Luisa,
      Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing,
      Association for Computational Linguistics,
      2023
      , pp. 14124-
      14140
    12. Gaido, Marco; Papi, Sara; Fucci, Dennis; Fiameni, Giuseppe; Negri, Matteo; Turchi, Marco,
      in «»,
      Proceedings of the 19th International Conference on Spoken Language Translation (IWSLT 2022),
      Association for Computational Linguistics,
      vol. ,
      n. ,
      2022
      , pp. 177-
      189

    ⭐ For our #PickOfTheWeek, this paper explores an important question for modern speech AI:

    🎙️ Which Evaluation for Which Speech Model?
    👥 Authors: @Maureendss , @EeshanDhekane

    Speech foundation models are evolving rapidly, but evaluation practices are still fragmented.

    🏝️ Yesterday at #LREC2026, Palma de Mallorca!
    @lina_conti presented "Voice, Bias, and Coreference: An Interpretability Study of Gender in Speech Translation" at the poster session.
    📄Paper:
    💻Code: https://github.com/lina-conti/voice-bias-coreference
    #SpeechTranslation #NLProc

    How does the granularity of speech-text pairs impact SpeechLLM performance, and what is the optimal way to interleave tokens? Furthermore, what are the best practices for generating synthetic data to boost training?🧐

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