Sara Papi @sarapapi
Researcher @FBK_Research | Prev: intern @Microsoft Trento, Trentino-Alto Adige Joined February 2011-
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We are at @EAMTee with a large-scale stealth project called "[redacted] Translation [redacted]". Looking for contributors across all languages to challenge MTs. Talk to @PSchmidtova, @sethjsa, @rajaee_sara and @gsarti_.
We're excited to share that three papers from our lab have been accepted at #Interspeech2026 !! 🍾 #SpeechTranslation #SpeechAI #NLProc #FBK #Interspeech
🇧🇷 Heading to 𝗜𝗖𝗟𝗥 2026 to present our paper 𝗠𝗖𝗜𝗙 🚀 The first human-annotated crosslingual multimodal instruction-following benchmark. 🗣️ Drop by the poster if you are interested in Speech AI! Check it out: iclr.cc/virtual/2026/p…
🚀 New Shared Task: Model Compression for Machine Translation at #WMT2026 (co-located with #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-co… #NLP #ML #LLM #ModelCompression
Amirbek Djanibekov, Luisa Bentivogli, Matteo Negri, Sara Papi, "SimulU: Training-free Policy for Long-form Simultaneous Speech-to-Speech Translation," arxiv.org/abs/2603.16924
Chinese Gp: Mario Kart edition 🍄🏎️
@sarapapi introduces MCIF, a new benchmark evaluating 23 SOTA models, revealing gaps in speech–video integration & long-form processing. 🎥 Watch the recording: youtube.com/watch?v=uQrX3i… #Meetween #MultimodalAI #LLMs #AIResearch
Very interesting new paper about combining Simultaneous Speech Translation and RAG to improve translation quality! Check it out: arxiv.org/pdf/2601.22777 #Speech #SpeechTech #Translation #RAG
🚀 𝗖𝗮𝗹𝗹 𝗳𝗼𝗿 𝗣𝗮𝗿𝘁𝗶𝗰𝗶𝗽𝗮𝘁𝗶𝗼𝗻: @iwslt Instruction Following 2026 Build general-purpose instruction-following speech models for 🌍 EN/DE/IT/ZH languages! 📅 Eval: 𝗔𝗽𝗿 1 | Submit: 𝗔𝗽𝗿 15 👉 iwslt.org/2026/instructi… #IWSLT2026 #SpeechAI #MultimodalAI
Hi all! I am looking for 2 emergency reviewers for #ACL rolling review on speech models. If you can help please get in touch with me and/or spread the word! Thanks!
Thrilled to share our paper “MCIF: Multimodal Crosslingual Instruction-Following Benchmark from Scientific Talks” is accepted at @iclr_conf 2026 🎉 🎞️ MCIF is a fully human-annotated, multimodal & cross-lingual IF benchmark. 🔗 Preprint: arxiv.org/abs/2507.19634 #ICLR2026 #AI
Our Multimodal group is looking forward to hosting @sarapapi tomorrow, Friday, January 23rd for a presentation on "Towards Crosslingual Evaluation of General-Purpose Instruction-Following Models Across Text, Speech, and Vision." Learn more: cohere.com/events/cohere-…
👉 slator.ch/ItalianBenchma… A new community-driven initiative evaluates 🔍 large language models using Italian-native 🇮🇹 tasks, with #AI #translation included among the challenge areas. #xl8 #t9n #LLMs @AILC_NLP @vivi_patti @basilepp @peppeatta @matteozio @daniel_sc4 @luisabentivogli @AriannaBisazza @leodecosmo @AnsaScienza @mgaido91 @ItziarGD @MorenoLaQuatra @frannyezooey @arianna_muti @negri_teo @sarapapi @FBK_Research @apierg @teelinsan @gsarti_ @BeatriceSavoldi @Unibocconi @EUI_EU @expertdotai @GalileoEducNet @HeriotWattUni @Idiap_ch @itnewspt @IussPavia @SapienzaRoma @UniBarcelona
13. Simulstream: Open-Source Toolkit for Evaluation and Demonstration of Streaming Speech-to-Text Translation Systems 🔑 Keywords: AI-generated summary, Streaming Speech-to-Text Translation, incremental decoding, re-translation methods, web interface 💡 Category: AI Systems and Tools 🌟 Research Objective: - Introduce simulstream, an open-source framework for evaluating and demonstrating streaming speech-to-text translation systems, with a focus on long-form audio processing. 🛠️ Research Methods: - Supports incremental decoding and re-translation methods, providing a unified framework for comparing quality and latency. Incorporates an interactive web interface for system demonstrations. 💬 Research Conclusions: - Simulstream is highlighted as a solution to the limitations of SimulEval, offering features for long-form audio processing and an easy demonstration platform. 👉 Paper link: huggingface.co/papers/2512.17…
Simulstream: Open-Source Toolkit for Evaluation and Demonstration of Streaming Speech-to-Text Translation Systems arxiv.org/abs/2512.17648 by @mgaido91 @sarapapi
Sara Papi, Javier Garcia Gilabert, et al., "Hearing to Translate: The Effectiveness of Speech Modality Integration into LLMs,", arxiv.org/abs/2512.16378
Check out the paper at arxiv.org/abs/2512.16378!
LMM latest research progress | 5. Hearing to Translate: The Effectiveness of Speech Modality Integration into LLMs #AI #DeepLearning #ArtificialInteligence #Datascience #Research #MLLM #MultimodalAI #Multimodal
🗣️ Calling all researchers & practitioners in #Speech #Translation! Help shape the future of the #Simultaneous track at @iwslt 2026. Your input matters! Please spare 3-5 min to fill out this quick survey📋: ➡️ forms.gle/VvasnSvH41ggDz…
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