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mgaido91.bsky.social

@mgaido91.bsky.social
32 followers 77 following 4 posts
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mgaido91.bsky.social @mgaido91.bsky.social · 15/04/2026
🚀 New Shared Task: Model Compression for Machine Translation at hashtag#WMT2026 (co-located with hashtag#EMNLP2026)! 📅 Test data out on June 18th, submissions by July 2nd! Can you shrink an LLM and keep translation quality high? 🧠🔧 👉 www2.statmt.org/wmt26/model-... #NLP #ML #LLM #ModelCompression
lnkd.in
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MT Group at FBK @fbk-mt.bsky.social · 25/02/2026
🎓 Today we attended the FBK PhD Day, and our amazing students presented their research lines: @apierg.bsky.social: gender-inclusive MT @linaconti.bsky.social: explainable speech translation @zhihangxie.bsky.social: long-form SpeechLLMs @uzumakidhairya.bsky.social: resource-efficient translation
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Beatrice Savoldi @bsavoldi.bsky.social · 03/06/2025
🔍 Stiamo studiando come l'AI viene usata in Italia e per farlo abbiamo costruito un sondaggio! 👉 bit.ly/sondaggio_ai... (è anonimo, richiede ~10 minuti, e se partecipi o lo fai girare ci aiuti un sacco🙏) Ci interessa anche raggiungere persone che non si occupano e non sono esperte di AI!
bit.ly
Qualtrics Survey | Qualtrics Experience Management
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sarapapi.bsky.social @sarapapi.bsky.social · 30/05/2025
🚀 New tech report out! Meet FAMA, our open-science speech foundation model family for both ASR and ST in 🇬🇧 English and 🇮🇹 Italian. The models are live and ready to try on @hf.co: 🔗 huggingface.co/collections/... 📄 Preprint: arxiv.org/abs/2505.22759 #ASR #ST #OpenScience #MultilingualAI
huggingface.co
FAMA - a FBK-MT Collection
The First Large-Scale Open-Science Speech Foundation Model for English and Italian
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MT Group at FBK @fbk-mt.bsky.social · 22/04/2025
📢 Come and join our group! We offer a fully funded 3-year PhD position: 📔 Automatic translation with large multimodal models: iecs.unitn.it/education/ad... 📍Full details for application: iecs.unitn.it/education/ad... 📅 Deadline May 12, 2025 #NLProc #FBK
iecs.unitn.it
Reserved topic scholarships | Doctoral Program - Information Engineering and Computer Science
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mgaido91.bsky.social @mgaido91.bsky.social · 16/04/2025
Interesting to see multimodal LLM built by combining modality encoders and LLM with adapters, as in the SFM+LLM paradigm, independently for each modality. This modularity may ease the creation of more MLMs from collaborations of single-modality experts. arxiv.org/abs/2501.04561
t.co
https://arxiv.org/abs/2501.04561
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sarapapi.bsky.social @sarapapi.bsky.social · 01/04/2025
📢 The evaluation period of the Instruction Following task at @iwslt.bsky.social just started! 🖥️ Consider submitting your speech-to-text system! The outputs can be easily uploaded on the SPEECHM platform developed in the Meetween project (www.meetween.eu)! ➡️ iwslt2025.speechm.cloud.cyfronet.pl
iwslt2025.speechm.cloud.cyfronet.pl
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GITT 2026 @gitt-workshop.bsky.social · 28/02/2025
While we look forward to a sunny Geneva, why wait to join the conversation? We’ve created a starter pack for our #GITT2025 friends! 🕵️ Follow researchers working on gender bias in MT 💬 Stay up to date and dive into the discussion! All info at sites.google.com/tilburgunive...
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mgaido91.bsky.social @mgaido91.bsky.social · 14/02/2025
very interesting to see more and more methods to close the length mismatch between speech and text sequences (aka length adapter -- see arxiv.org/abs/2402.12025) for SFM+LLM models! This one merging CTC and Q-former sounds very cool to me: arxiv.org/abs/2412.01145
arxiv.org
AlignFormer: Modality Matching Can Achieve Better Zero-shot Instruction-Following Speech-LLM
Integrating speech into LLM (speech-LLM) has gaining increased attention recently. The mainstream solution is to connect a well-trained speech encoder and LLM with a neural adapter. However, the lengt...
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IWSLT @iwslt.bsky.social · 30/01/2025
Next up: simultaneous speech translation! 🎯 Goal: to explore ways to translate speech into another language like simultaneous interpreting. 🔗 Link: iwslt.org/2025/simulta...
iwslt.org
Simultaneous track
Home of the IWSLT conference and SIGSLT.
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IWSLT @iwslt.bsky.social · 28/01/2025
First up, a new task for 2025: *Instruction-following for speech processing!* Explore instruction-following for speech ⇨ Integrate speech foundation models with LLMs across tasks such as speech translation, recognition, summarization, and QA. 🔗: iwslt.org/2025/instruc...
iwslt.org
Instruction-following Speech Processing track
Home of the IWSLT conference and SIGSLT.
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IWSLT @iwslt.bsky.social · 29/01/2025
Today's task: model compression!! 🆕 New at IWSLT! But no less exciting 🔥 🎯 Goal: Compress a large, general-purpose multimodal model, making speech translation more efficient ⚡️, deployable 📲, and sustainable ♻️, while preserving translation quality ⭐️ #AI #SpeechTech #ModelCompression #LLMcompression
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sarapapi.bsky.social @sarapapi.bsky.social · 23/01/2025
I'm happy to share that our paper "Prepending or Cross-Attention for Speech-to-Text? An Empirical Comparison" has been accepted at @naaclmeeting.bsky.social 2025! #NAACL2025 @mgaido91.bsky.social 👏 📃 Preprint: arxiv.org/abs/2501.02370 ⏰ Code will be released soon #NLProc #Speech
arxiv.org
Prepending or Cross-Attention for Speech-to-Text? An Empirical Comparison
Following the remarkable success of Large Language Models (LLMs) in NLP tasks, there is increasing interest in extending their capabilities to speech -- the most common form in communication. To integ...
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GITT 2026 @gitt-workshop.bsky.social · 22/01/2025
Hello world! 👋 We're coming out of hibernation to bring you this happy news: 1) We're organising the 3rd edition of GITT at #MTSummit! Working on #gender & #translation #technology? We'll see you there! 2) We're moving away from Twitter, so share the news and help us find old and new GITT friends!
media.tenor.com
a polar bear cub is laying in a pile of branches .
ALT: a polar bear cub is laying in a pile of branches .
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mgaido91.bsky.social @mgaido91.bsky.social · 09/01/2025
Our #iwslt 2025 task on instruction-following speech models is out! Submission by April 15th. Check it out at: iwslt.org/2025/instruc...
iwslt.org
Instruction-following Speech Processing track
Home of the IWSLT conference and SIGSLT.
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