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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...

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...

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...

Hello world!

by admin | May 10, 2023 | Uncategorized | 0

Welcome to WordPress. This is your first post. Edit or delete it, then start writing!

MT Group at FBK Follow

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

Avatar MT Group at FBK @fbk_mt ·

19h

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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Avatar MT Group at FBK @fbk_mt ·

24 Jun

Our pick of the week by
@BeatriceSavoldi
: "Accuracy: Community Perspectives on Machine Translation" by Yujun Wang,
@EhudReiter
, Shimei Pan,
@egere14
and Wei Zhao #MachineTranslation #TranslationQuality #Evaluation

BeatriceSavoldi @BeatriceSavoldi

📖 #PickoftheWeek @fbk_mt "Accuracy: Community Perspectives on Machine Translation"

A cool analysis of the conflicting interests of different communities around MT(AI developers, LSPs, and users)
https://arxiv.org/pdf/2606.09655
#NLP #MachineTranslation #DiverseStakeholders

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