Beomseok Lee

PhD Student

    Short bio

    Beomseok Lee is a PhD student at the University of Trento, conducting research at Fondazione Bruno Kessler and NAVER LABS Europe.

    Before starting his PhD, Beomseok worked as a full-time research engineer at SAMSUNG Research (Samsung Electronics R&D hub) Global AI Center, Seoul where he specialized in End-to-end (E2E) Speech-to-text translation. His current research focuses on E2E Spoken Language Understanding with an emphasis on multi-task, multi-lingual and multi-modal approaches. He holds a Computer Science (CS) Master's degree from Korea Advanced Institute of Science & Technology (KAIST, Korea) and a CS Bachelor's degree from Sungkyunkwan University (SKKU, Korea).

    Research topics

    Spoken Language Understanding, Multi-modality

    Publications

    1. Lee, Beomseok; Gaido, Marco; Calapodescu, Ioan; Besacier, Laurent; Negri, Matteo,
      in «»,
      Proceedings of the 31st International Conference on Computational Linguistics,
      ,
      vol. ,
      n. ,
      2025
      , pp. 6816-
      6826
    2. Lee, Beomseok; Calapodescu, Ioan; Gaido, Marco; Negri, Matteo; Besacier, Laurent,
      in «»,
      Proceedings of Interspeech2024,
      ,
      vol. ,
      n. ,
      2024
      , pp. 817-
      821

    Takeaway from our #2 DVPS consortium meeting: scaling with a few modalities won’t unlock the next leap. Progress we need to push in Europe now requires grounding intelligence in interaction and real-time feedback; we’re working on building the most promising MMFM architecture.

    Oggi 11 febbraio è la Giornata Internazionale delle Donne e delle Ragazze nella Scienza.

    Un’occasione per FBK di condividere e rilanciare il proprio impegno per l’uguaglianza di genere attraverso il Gender Equality Plan 2025-2028, recentemente approvato

    https://magazine.fbk.eu/it/news/rinnovato-e-rafforzato-limpegno-verso-luguaglianza-di-genere-in-fbk/

    🚀 𝗖𝗮𝗹𝗹 𝗳𝗼𝗿 𝗣𝗮𝗿𝘁𝗶𝗰𝗶𝗽𝗮𝘁𝗶𝗼𝗻: @iwslt Instruction Following 2026

    Build general-purpose instruction-following speech models for 🌍 EN/DE/IT/ZH languages!

    📅 Eval: 𝗔𝗽𝗿 1 | Submit: 𝗔𝗽𝗿 15

    👉

    #IWSLT2026 #SpeechAI #MultimodalAI

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