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

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Our #PickOfTheWeek, selected by @BeatriceSavoldi:

"The AI Observatory: A Public Measure of Real-World AI Use" by @ShayneRedford, @AnkaReuel, @zoeykii et al.

A crucial framework tracking how AI models are deployed, adopted, and evaluated beyond lab benchmarks.

BeatriceSavoldi @BeatriceSavoldi

Pick of the week @fbk_mt
📚"The AI Observatory: A Public Measure of Real-World AI Use"

A study and taxonomy to explore real conversations across multiple datasets.
https://www.dataprovenance.org/ai_observatory.pdf

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MT Group at FBK

@fbk_mt ·

9 Sep

Can algorithmic gender prediction ever be valid?

Check out this week's top pick by @lina_conti: "Algorithmic Gender Prediction Is Illegitimate, But Gender Imputation Can Yield Valid Measurements" by @evandongyx & @ang3linawang.

Lina Conti @lina_conti

Pick of the week by @evandongyx & @ang3linawang:
https://arxiv.org/pdf/2608.13444

Predicting gender from images or names can reveal discrimination. But the practice itself harms trans people. This paper works through when that tradeoff might be justified and how to do it responsibly.

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MT Group at FBK

@fbk_mt ·

3 Sep

Our pick of the week by
@dhairya_su47605
: "Task-Circuit Quantization: Leveraging Knowledge Localization and Interpretability for Compression" by @hanqi_xiao, @yilin_sung, @EliasEskin and @mohitban47
#Quantization #Interpretibility

Dhairya Suman @dhairya_su47605

#PickoftheWeek @fbk_mt
Super cool paper on leavaraging Interpretability for Compression!

https://arxiv.org/pdf/2504.07389

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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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