UTTER
@UTTERProject
Followers
117
Following
35
Media
14
Statuses
49
UTTER - Unified Transcription and Translation for Extended Reality - is a collaborative Research and Innovation project funded under Horizon Europe
Europe
Joined April 2023
🎯 Final UTTER Meeting – Amsterdam, June 11–13.A milestone for our Horizon Europe project! Teams from.@itnewspt, @naverlabseurope, @EdinburghUni,.@Unbabel, and @UvA_Amsterdam gathered to align on results in multimodal LLMs, XR & human–AI interaction. Huge thanks to all involved!
0
1
3
🚀 Proud moment!. Prof. @andre_t_martins represented @UTTERProject & #EuroLLM at #GTCParis + #VivaTech2025, showcasing their role in Europe’s sovereign AI future. And the highlight? Both projects were featured in Jensen Huang’s keynote! 🙌. #EU #NVIDIA #LLMs #AIResearch
0
3
3
📢 Call for Papers: 2nd Workshop on Uncertainty-Aware NLP (#UncertaiNLP) is live!. Join us to explore NLP, LLMs & uncertainty: quantification, hallucination detection, robustness to domain shifts & more. 🗓️ Deadline: Aug 9.🔗 Submit: #NLP #AI #HorizonEU.
uncertainlp.github.io
0
1
1
🚀 Big strides from @Inventors_Hub | SwarmChat, supported by #HE_UTTER 🇪🇺.SwarmChat is redefining how we communicate with robot swarms — using natural language for real-time, intuitive control 🤖💬. More here 👉 #AI #SwarmRobotics #HRI #EUfunded.
ventorhub.com
SwarmChat is an EU-funded pilot under the UTTER programme that lets anyone, regardless of technical background, direct robot swarms using natural speech or text.
0
1
1
🚀 AutoMin 2025 – 3rd Edition of the Automatic Minuting Shared Task at #SIGDIAL2025!. @naverlabseurope & UTTER push LLMs in:.📌 Meeting Summarization.📌 Meeting QA. 📅 Aug 28, 2025. Join the future of NLP, AI & Meeting Understanding! 🔗 #NLP #LLM #UTTER.
0
1
4
📌 Speech Foundation Models & Crowdsourcing for better speech data collection (@beomseok_lee, Ioan Calapodescu, @negri_teo, @mgaido91). 🔗 Congrats to the team! 🚀 #NLP #SpeechAI #MultilingualAI.
arxiv.org
While crowdsourcing is an established solution for facilitating and scaling the collection of speech data, the involvement of non-experts necessitates protocols to ensure final data quality. To...
0
0
2
Looking back at @coling2025, great to see UTTER’s contributions presented by @laurent_besacie!. 📌 ELITR-Bench: A benchmark for long-context meeting assistants (with @tthonet & @josrzn) - now with a Czech version.🔗 |
1
2
3
RT @laurent_besacie: I'll present two papers at the main @coling2025 conference next week: (1) ELITR-Bench: A Meeting Assistant Benchmark….
github.com
Benchmark for the evaluation of long-context LLMs on meeting transcripts - utter-project/ELITR-Bench
0
4
0
RT @laurent_besacie: and (2) Speech Foundation Models and Crowdsourcing for Efficient, High-Quality Data Collection* (work from PhD student….
www.arxiv.org
While crowdsourcing is an established solution for facilitating and scaling the collection of speech data, the involvement of non-experts necessitates protocols to ensure final data quality. To...
0
5
0
🚀 We’re thrilled to reveal the results of UTTER’s 2nd FSTP Open Call. From 50 outstanding proposals received, 7 projects were selected to receive a total of €409,643.75 in funding. This call, open from May 1 to July 31, 2024, brought in innovative ideas from across the field!
1
1
2
RT @EuroHPC_JU: 🌍Meet EuroLLM-9B—a multilingual AI model supporting 24 EU languages. ✅Open for all—startups, researchers, and more.✅ Powere….
0
4
0
👉 Developed in the scope of the UTTER project by a top-tier European consortium: @itnewspt , @istecnico , @naverlabseurope, @UvA_Amsterdam, @EdinburghUni , @Unbabel , Aveni, @ParisSaclay , and @SorbonneParis1, supported by #HorizonEU.
0
0
3
🇪🇺 Excited to share EuroLLM-9B! 🚀. A 9B-parameter multilingual model, trained on 4T tokens in all EU languages + 11 others. Built using the Barcelona Supercomputing Center via #EuroHPCJU. #AI #LLM #EuroLLM.
3
1
9
0
0
1
A big thank you to @istecnico and @Unbabel for hosting, and to everyone who joined us from @EdinburghUni, @naverlabseurope and @UvA.
0
0
1
This year's UTTER in-person meeting took place in sunny Lisbon! ☀️ . For two days, we came together to share new ideas, discuss our vision and work, and set the course for the future. Through discussions and planning, this meeting laid the foundation for our upcoming research.
2
1
5
Tower LLM, an output of UTTER, is an open multilingual large language model designed for translation-related tasks. 🎉Congratulations to everyone involved!.
I’m super proud to announce that our Tower 🗼 paper was accepted at COLM 24!.To celebrate, we are releasing a new version of TowerInstruct based on Mistral 7B: it achieves similar performance to our 13B model, while being almost half the size!. COLM Paper:
0
0
6