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Zhihang Xie

@zhihangxie

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12.12.2024
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Latest posts by Zhihang Xie @zhihangxie

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Last week at the @fbk-mt.bsky.social seminars, we hosted Elizabeth Salesky from Google DeepMind, presenting her work on "Translation and Language Modeling with Pixels"

#NLProc #tokenization #MT

21.01.2026 11:05 👍 12 🔁 7 💬 0 📌 0
Jobs | Science and Technology Hub - Trento | A Researcher in Responsible and Trustworthy NLP

🚀 JOB ALERT 3: The FBK's MT Unit is hiring!

Join us as a Researcher in Responsible & Trustworthy NLP and advance ethical, fair, and transparent language technologies. If you care about building safe and accountable AI systems, you can apply here:
👉 jobs.fbk.eu/Annunci/Offe...

05.12.2025 10:14 👍 6 🔁 6 💬 0 📌 0
Jobs | Science and Technology Hub - Trento | A Researcher in Responsible and Trustworthy NLP

🚀 We're hiring a Researcher in Responsible & Trustworthy NLP! Join our research group @fbk-mt.bsky.social at Fondazione Bruno Kessler to work on fairness and trustworthiness in multilingual technologies.

📅 Deadline: Dec 10, 2025
🔗 Apply: jobs.fbk.eu/Annunci/Offe...

25.11.2025 09:07 👍 8 🔁 8 💬 0 📌 0

🚀 New paper: Speech Discrete Tokens or Continuous Features?
📄 aclanthology.org/2025.emnlp-m...
🧩 A comprehensive benchmark of SpeechLLMs using HuBERT/WavLM with Qwen & LLaMA.
✨ Continuous features outperform overall, while discrete tokens excel at phoneme-level detail.

12.11.2025 14:37 👍 1 🔁 0 💬 0 📌 1
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🚀 Exciting news from the @fbk-mt.bsky.social group!
@bsavoldi.bsky.social , @linaconti.bsky.social, @matteo-negri.bsky.social & @luisabentivogli.bsky.social are attending #EMNLP2025 in Suzhou 🇨🇳!

Come to our sessions & let's connect:
🔗 mt.fbk.eu/fbk-mt-at-em...

We’re also hiring postdocs!⚡

04.11.2025 09:02 👍 7 🔁 3 💬 0 📌 0

🚀 SimulMEGA: MoE Routers as advanced policy makers for Simultaneous Speech Translation 🎧🌍
Mixture-of-Experts routing → smarter decisions on when & how to translate, balancing latency vs quality in real-time speech. Paper link at arxiv.org/pdf/2509.012...

03.09.2025 07:33 👍 0 🔁 0 💬 0 📌 1
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Adversarial Speech-Text Pre-Training for Speech Translation Large-scale pre-training has been shown to benefit speech translation tasks. However, existing multimodal pre-training efforts rely on parallel corpora for semantic alignment, potentially limiting per...

🚀 AdvST: Adversarial training aligns speech and text distributions without parallel data! Combines adversarial learning + hidden-state swapping to fix length mismatch & boost low-resource speech translation. ieeexplore.ieee.org/document/108...

09.07.2025 10:05 👍 1 🔁 0 💬 0 📌 1
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PHRASED: Phrase Dictionary Biasing for Speech Translation Phrases are essential to understand the core concepts in conversations. However, due to their rare occurrence in training data, correct translation of phrases is challenging in speech translation task...

🚀 Boost rare-phrase translation in speech! Uses **bilingual dictionaries** (e.g., "climate change"→"Klimawandel") to dynamically bias outputs.
✅ **+21%** recall in streaming ST
✅ **+85%** in multimodal LLMs
🔗: arxiv.org/abs/2506.09175

02.07.2025 08:42 👍 1 🔁 0 💬 0 📌 1
Qualtrics Survey | Qualtrics Experience Management The most powerful, simple and trusted way to gather experience data. Start your journey to experience management and try a free account today.

🔍 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!

03.06.2025 10:24 👍 16 🔁 18 💬 1 📌 0
Reserved topic scholarships | Doctoral Program - Information Engineering and Computer Science

📢 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

22.04.2025 10:14 👍 9 🔁 9 💬 1 📌 0
IEEE Xplore Full-Text PDF:

ReShape Attention bridges speech & text models without extra parameters. Achieves +8.5% BLEU in translation by leveraging acoustic cues, outperforming cascade/E2E methods. Efficient & scalable. Check the paper by Kano et al. (2025) at: ieeexplore.ieee.org/stamp/stamp.....

09.04.2025 15:04 👍 2 🔁 0 💬 0 📌 1

New research fuels the debate between cascaded and E2E speech translation! The challenge of error propagation is addressed by incorporating multiple ASR candidates, along with HuBERT features to preserve acoustic information lost after ASR. Check the paper by Min et al. at: arxiv.org/pdf/2502.00377.

06.02.2025 10:18 👍 3 🔁 0 💬 0 📌 1