The scientific and technological objectives of QALL-ME pursued three crucial directions: multilingual open domain QA, user-driven and context-aware QA, and learning technologies for QA. The specific research objectives of the project included state-of-art advancements in the complexity of the questions handled by the system(e.g. how questions); the development of a web-based architecture for cross-language QA (i.e. question in one language, answer in a different language); the realization of real-time QA systems for concrete applications; the integration of the temporal and spatial context both for question interpretation and for answer extraction; the development of a robust framework for applying minimally supervised machine learning algorithms to QA tasks; and the integration of mature technologies for automatic speech recognition within the open domain question answering framework.
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
๐ New paper: Speech Discrete Tokens or Continuous Features?
๐ https://aclanthology.org/2025.emnlp-main.1266.pdf
๐งฉ A comprehensive benchmark of SpeechLLMs using HuBERT/WavLM with Qwen & LLaMA.
โจ Continuous features outperform overall, while discrete tokens excel at phoneme-level detail.
๐ Exciting news from the @FBK_MT group!
Four of our members @BeatriceSavoldi, @lina_conti, @negri_teo & @luisabentivogli are attending #EMNLP2025 in Suzhou ๐จ๐ณ with 5 accepted papers!
Come to our sessions & let's connect:
๐ https://mt.fbk.eu/fbk-mt-at-emnlp-2025/
Weโre also hiring postdocs!โก
๐๐Congratulations to our PhD student @DennisFucci on a very successful thesis defense! ๐
Many thanks to the evaluation committee members @debora_nozza, @mirco_ravanelli, and Leonardo Badino for their insightful feedback and appreciation of his work!
#nlproc