News

1 Paper Accepted at ACL 2025 Main and 2 Papers at IWSLT 2025

by Dennis Fucci | Jun 5, 2025 | News | 0

1 Paper Accepted at ACL 2025 Main and 2 Papers at IWSLT 2025

3 Papers Accepted at INTERSPEECH 2025

by Dennis Fucci | May 27, 2025 | News | 0

3 Papers Accepted at INTERSPEECH 2025

Paper accepted at the 3rd GITT workshop (MT Summit 2025)

by Andrea Piergentili | Apr 17, 2025 | News | 0

The paper ‘An LLM-as-a-judge Approach for Scalable Gender-Neutral Translation Evaluation‘, by...

1 PAPER ACCEPTED AT COLING 2025

by Beomseok Lee | Jan 14, 2025 | News | 0

We are glad to announce that the following paper, authored by our MT Group at FBK, has been...

Dennis Fucci, Andrea Piergentili, and Luisa Bentivogli at CLiC-it 2024

by Andrea Piergentili | Dec 3, 2024 | News | 0

We are happy to announce that our PhD students Dennis Fucci and Andrea Piergentili and our head of...

Our Postdoc Sara Papi received the Best PhD Thesis Special Mention by AIxIA 2024

by Sara Papi | Nov 28, 2024 | News | 0

We are glad to announce that our Sara Papi received the Special Mention for the Best PhD Thesis...

Two Social Impact Paper Awards at EMNLP 2024

by Beatrice Savoldi | Nov 19, 2024 | News | 0

We are thrilled to announce that 2 papers authored by researchers and students from the FBK MT unit have received the Social Impact Paper Award at EMNLP 2024 Check out the papers! What the Harm? Quantifying the Tangible Impact...

Sara Papi, Beatrice Savoldi, and Matteo Negri at EMNLP 2024

by Sara Papi | Nov 5, 2024 | News | 0

We are happy to announce that our postdocs Sara Papi, and Beatrice Savoldi and our researcher...

Language Technology Research Highlights @FBK 2024

by Sara Papi | Sep 20, 2024 | News | 0

The 2 October 2024 we have organised the first edition of the LT@FBK Highlights, an event aimed to share with colleagues and people interested in language technologies the recent research achievements at FBK on this topic.

1 PAPER ACCEPTED AT INTERSPEECH 2024

by Beomseok Lee | Aug 28, 2024 | News | 0

We are glad to announce that the following paper, authored by our MT Group at FBK, has been...

🎉 Multiple Achievement at ACL 2024! 🏆

by Sara Papi | Aug 17, 2024 | News | 0

🚀 We’re thrilled to announce that two of our papers have earned top honors at #ACL2024! 1️⃣...

Our postdocs Marco Gaido and Sara Papi at ACL 2024

by Sara Papi | Aug 7, 2024 | News | 0

We are thrilled to announce that our postdocs Marco Gaido and Sara Papi will attend ACL 2024 in...

MT Group at FBK Follow

#MachineTranslation Research Unit @FBK_research. #nlproc #deeplearning #ai

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Avatar Maike Züfle @maikezufle ·

26 Jul

🇦🇹 I’ll be in Vienna for #ACL2025NLP!

Interested in training a SpeechLLM without a lot of params or data? Come to my poster:
🖼️ Mon, 18:00

Also into Speech Summarization? Join my IWSLT talk in collab with @fbk_mt:
🎤 Fri, 14:00

Happy to chat - come say hi! 😎
Papers in 🧵

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Avatar arXiv Sound @arxivsound ·

11h

Sara Papi, Maike Z\"ufle, Marco Gaido, Beatrice Savoldi, Danni Liu, Ioannis Douros, Luisa Bentivogli, Jan Niehues, "MCIF: Multimodal Crosslingual Instruction-Following Benchmark from Scientific Talks,"

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Avatar MT Group at FBK @fbk_mt ·

16 Jul

Our pick of the week by @mgaido91: "WhisperKit: On-device Real-time ASR with Billion-Scale Transformers" by Atila Orhon, Arda Okan, Berkin Durmus, @zachnagengast, and Eduardo Pacheco (ICML 2025)

#speech #speechtech #whisper #ASR #realtime

Marco Gaido @mgaido91

A couple of weeks before presenting our large-scale speech model compression task at IWSLT, here there is of the first attempts to bring large-scale models to the devices on the edge: https://arxiv.org/pdf/2507.10860... Hope to see more works along this direction!

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Avatar MT Group at FBK @fbk_mt ·

9 Jul

Our pick of the week by @FBKZhihangXie: "Adversarial Speech-Text Pre-Training for Speech Translation" by Chenxuan Liu, Liping Chen, Weitai Zhang, Xiaoxi Li, Peiwang Tang, Mingjia Yu, Sreyan Ghosh, and Zhongyi Ye (ICASSP 2025)

#speech #speechprocessing #speechtech #translation

Zhihang Xie @FBKZhihangXie

🚀 AdvST: Adversarial training aligns speech and text distributions without parallel data! Combines adversarial learning + hidden-state swapping to fix length mismatch & boost low-resource speech translation. https://ieeexplore.ieee.org/document/10888294

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