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🚀 JOB ALERT: The FBK's MT Unit is hiring!
Join us as a Researcher in Multimodal LLMs and work at the forefront of AI, combining text, speech, and video. If you’re passionate about deep learning and next-gen models, we want to hear from you!
Apply 👉 https://jobs.fbk.eu/Annunci/Jobs_A_Researcher_in_Multimodal_Large_Language_Models_LLMs_241756954.htm
🚀 We're hiring a Researcher in Responsible & Trustworthy NLP!
Join our @fbk_mt group at @FBK_research to work on fairness and trustworthiness in multilingual technologies.
📅 Deadline: Dec 10, 2025
🔗 Apply: https://jobs.fbk.eu/Annunci/Offerte_di_lavoro_A_Researcher_in_Responsible_and_Trustworthy_NLP_241757983.htm
Our pick of the week by @FBKZhihangXie: "#Speech Discrete Tokens or Continuous Features? A Comparative Analysis for Spoken Language Understanding in #SpeechLLMs" by @WangDingdo2603, Junan Li, @HelenMeng_CUHK, et al. (#EMNLP2025)
#SLU #SpeechTech
🚀 New paper: Speech Discrete Tokens or Continuous Features?
📄 https://aclanthology.org/2025.emnlp-main.1266.pdf
🧩 A comprehensive benchmark of SpeechLLMs using HuBERT/WavLM with Qwen & LLaMA.
✨ Continuous features outperform overall, while discrete tokens excel at phoneme-level detail.