Sara Papi, Maike Z\"ufle, Marco Gaido, Beatrice Savoldi, Danni Liu, Ioannis Douros, Luisa Bentivogli, Jan Niehues, "MCIF: Multimodal Crosslingual Instruction-Following Benchmark from Scientific Talks," https://t.co/XGzWLWItzL
Just arrived to Viena for ACL! I will present two posters: Our findings article "Going Beyond Your Expectations in Latency Metrics for Simultaneous Speech Translation" and our submission to the SimulST task in @iwslt. Feel free to find me and let's have a chat!
#ACL#ACL2025
🔥 Is your real-time SimulST system REAL?
Our TACL paper analyzes 110 works and reveals:
🚫 Overreliance on short-form speech
🌀 Terminology chaos
📉 Real-world deployment gaps
We bring order-New taxonomy, trends & recommendations!
📍#ACL2025 Poster: Monday 11-12:30, Hall 4/5
Just arrived to Viena for ACL! I will present two posters: Our findings article "Going Beyond Your Expectations in Latency Metrics for Simultaneous Speech Translation" and our submission to the SimulST task in @iwslt. Feel free to find me and let's have a chat!
#ACL#ACL2025
🚀 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 @huggingface 👇
🔗 https://t.co/14PCvNsuCl
#ASR#ST#OpenScience#MultilingualAI
Giving your models more time to think before prediction, like via smart decoding, chain-of-thoughts reasoning, latent thoughts, etc, turns out to be quite effective for unblocking the next level of intelligence.
New post is here :)
“Why we think”: https://t.co/21xduoZaAF
Thrilled to share our latest findings on data contamination, from my internship at @Google! We trained almost 90 Models on 1B and 8B scales with various contamination types using machine translation as our task and analyze the impact of contamination.
https://t.co/4AjY5jSgX8
I’m glad to announce that our work “How "Real" is Your Real-Time Simultaneous Speech-to-Text Translation System?” has been accepted at the Transactions of @aclanthology (TACL)! 🎉
The preprint is available here: https://t.co/vumEPkZ7vZ