News

New PhD position at MT Group

by Luca Corbucci | Aug 6, 2026 | News | 0

The MT Group is pleased to announce a fully funded PhD position in Human-centred Evaluation...

3 Papers Accepted at CLiC-it 2026 2026

by Luca Corbucci | Aug 5, 2026 | News, Uncategorized | 0

We are happy to announce that 3 papers, co-authored by our Machine Translation Group, have been...

Luisa Bentivogli at ACL 2026 🇺🇸

by Luca Corbucci | Jul 1, 2026 | News, Uncategorized | 0

The Machine Translation unit is heading to the ACL 2026 Conference in San Diego, California! Luisa...

MT Unit at ALT-EDIC Week 2026

by Luca Corbucci | Jun 17, 2026 | News | 0

This week, Luisa Bentivogli and Matteo Negri from MT Unit and Alessio Brutti from SpeechTek Unit...

3 Papers Accepted at INTERSPEECH 2026

by Luca Corbucci | Jun 11, 2026 | News, Uncategorized | 0

We’re glad to share that the three papers, co-authored by our Machine Translation Group at FBK,...

MT Unit at LREC 2026 🏝️

by Luca Corbucci | May 11, 2026 | News, Uncategorized | 0

The MT Unit is heading to LREC 2026 in Palma de Mallorca (May 11–16)! Lina Conti and Luisa...

Celebrating Beomseok LEE’s PhD Defense 🎓

by Luca Corbucci | Apr 24, 2026 | News | 0

🎓 Congratulazioni, dottore!Yesterday, Beomseok LEE successfully defended his PhD thesis,...

Sara Papi at ICLR 𝟮𝟬𝟮𝟲 🇧🇷

by Luca Corbucci | Apr 22, 2026 | News, Uncategorized | 0

We are happy to announce that Sara Papi is attending ICLR 2026 in Rio de Janeiro, Brazil 🇧🇷. She...

Celebrating Andrea Piergentili’s PhD Defense 🎓

by Luca Corbucci | Apr 20, 2026 | News | 0

🎓 Congratulazioni, dottore!Today, Andrea Piergentili successfully defended his PhD thesis,...

Best Paper Award at TeachNLP 2026

by Beatrice Savoldi | Apr 2, 2026 | News | 0

🏆 Thrilled to share that the paper by Beatrice Savoldi “Practising Responsibility: Ethics in...

Sara Papi talks about Crosslingual Multimodal Evaluation at Cohere Labs

by Sara Papi | Jan 20, 2026 | News | 0

Our researcher, Sara Papi, will give a talk at the Multimodal Cohere Labs on January 23rd at 4:00...

Postdocs/Research Engineer positions on Multimodal LLMs & Responsible NLP

by Luisa Bentivogli | Nov 25, 2025 | News | 0

We are hiring three researchers to work on multilingual and multimodal LLMs and Responsible and...

MT Group at FBK Follow

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

Avatar MT Group at FBK @fbk_mt ·

12 Aug

Our pick of the week:

"Large Language Diffusion Model" by Shen Nie, Fengqi Zhu, @ZebinYou, Xiaolu Zhang, Jingyang Ou, Jun Hu, Jun Zhou, Yankai Lin, Ji-Rong Wen, @LiChongxuan

It is very cool to see how the researcher combine diffusion model and transformer blocks to train

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Avatar MT Group at FBK @fbk_mt ·

24 Jul

Our pick of the week by
@mgaido91

: "FlexiSLM: A Dynamic and Controllable Frame Rate Spoken Language Model" by Jiaqi Li, Chaoren Wang, Xiaohai Tian, Mingjie Chen, Xinyu Liang, Xu Li, Yufan Lin, Junwen Qiu, Jun Zhang, Lu Lu, Haizhou Li and @drwuz
#SLM #EfficientInference

Marco Gaido @mgaido91

Cool to see a work that adaptively chooses at inference how much to compress the input speech sequence, to control inference costs and quality based on the input, without enforcing a global trade-off to each segment: https://arxiv.org/pdf/2606.31247

@fbk_mt

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Avatar MT Group at FBK @fbk_mt ·

8 Jul

Our pick of the week by
@FBKZhihangXie : "Speech-XL: Towards Long-Form Speech Understanding in Large Speech Language Models" by Haoqin Sun, @Chenyang_Lyu, Shiwan Zhao, Xuanfan Ni, Xiangyu Kong, @wangly0229, Weihua Luo and Yong Qin
#SpeechLLM #LongFormSpeech #SLU

Zhihang Xie @FBKZhihangXie

🚀 New paper: Speech-XL for long-form SpeechLLMs
📄 https://arxiv.org/abs/2602.05373
🧩 Uses Speech Summarization Tokens to compress local speech intervals into compact KV states efficiently.
✨ Improves long-form speech understanding while reducing memory and FLOPs on 10-minute audio.

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Avatar MT Group at FBK @fbk_mt ·

25 Jun

Last week, we had a great talk for our MT Seminar Series!
@julius_gulius a PhD from @cambridgenlp presented a talk on "Effective uses of grammatical knowledge in extremely low-resource Machine Translation"
#MachineTranslation #LowResourceMT #NLProc #FBK

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