Eine deutsche KI behauptet, Schweizerdeutsch zu können. Unser neuer Test sagt: «Chabis». vamvas.ch/benchmark-sw...

Eine deutsche KI behauptet, Schweizerdeutsch zu können. Unser neuer Test sagt: «Chabis»

vamvas.ch

Machine translation is not solved and it will take a while for it to be done arxiv.org/abs/2609.04173

Last Translation Benchmark

For scientific progress, we need benchmarks that test the limits of state-of-the-art models, and evaluation methods that inform us about failure cases. As models get stronger, standard benchmarks for ...

arxiv.org

Das Institut für Computerlinguistik der Universität Zürich hat mit der Lia Rumantscha ein Sprachmodell für die rätoromanischen Sprachvarianten entwickelt.

Sprachmodell übersetzt in fünf rätoromanische Idiome

Das Programm "Alas" übersetzt Deutsch ins Rätoromanische. Es kann als Webapp und Open-Source-Modell benutzt werden.

inside-it.ch

Only a few more days left to register for SwissText 2026 with early-bird rates!

Computational Linguistics @ UZH@cl-uzh.bsky.social · 6mo ago

🗓️ SwissText 2026 keynote speakers announced & registration open! We are delighted to welcome Prof. Dr. Alexandra Birch and Dr. Valentina Pyatkin as our keynote speakers. 📋 Register here: ema.uzh.ch/RHK4W Early-bird rates available throughout April, with additional student discounts. #NLProc 1/3

Looking forward to the ACL 2026 conference in San Diego, California! Several accepted papers have involvement from our department: 1/7

My lab is recruiting one PhD student and one post-doctoral researcher for a start as soon as this Summer! Apply by April 1 / March 31 to be among first candidates considered. jobs.uzh.ch/job-vacancie... jobs.uzh.ch/job-vacancie...

UZH: PhD in Language AI / Natural Language Processing

You will be joining the Department of Computational Linguistics, which has 6 Research Groups and around 70 postdoctoral and student researchers in the areas of Text Technologies, Phonetics and Speech ...

jobs.uzh.ch

📣 SwissText 2026 – Call for Papers is open! 🎯 Special theme: #ReproducibleNLP 📅 Submission deadline: 17 March 2026 📍 Zurich, Switzerland · 10 June 2026 www.swisstext.org/call-for-pap... (1/4)

💥Introducing new paper: arxiv.org/pdf/2510.17715, QueST — train specialized generators to create challenging coding problems. From Qwen3-8B-Base ✅ 100K synthetic problems: better than Qwen3-8B ✅ Combining with human written problems: matches DeepSeek-R1-671B 🧵(1/5)

Congratulations to @sinaahmadi.bsky.social and co-authors for receiving an ACL 2025 Outstanding Paper Award for PARME: Parallel Corpora for Low-Resourced Middle Eastern Languages! aclanthology.org/2025.acl-lon...

We're proud to see our researchers sharing their latest work: @sinaahmadi.bsky.social, @ricosennrich.bsky.social, @michellewastl.bsky.social, @vamvas.bsky.social and Andrianos Michail (pictured) and many others. If you’re at #ACL, stop by to learn more!

Arrived in Vienna ready for #ACL2025NLP! Excited to present papers with @vamvas.bsky.social @ricosennrich.bsky.social on Unsupervised Translation Direction Detection and Multilingual Hallucination Detection! Come say hi! 👋 #NLProc #NLP #NMT #LLMs

Can you solve my exam question? I've come to believe that multiple-choice exams are underrated. More in my blog post, “The Joy of Multiple-Choice.” vamvas.ch/the-joy-of-m...

I had the pleasure of presenting our paper “20min-XD: A Comparable Corpus of Swiss News Articles (arxiv.org/abs/2504.21677) ”, a joint work with @vamvas.bsky.social , Selena Calleri and @ricosennrich.bsky.social , at SwissText 2025 last week. We are honored to receive Best Paper Award for it! ✨

Our Michelle Wastl is demonstrating her invention, the Translation Direction Detector, at the SwissNLP Expo! Michelle's paper: arxiv.org/abs/2401.06769 Demo: huggingface.co/spaces/Zuric... If you're at the expo, make sure to stop by the Department of Computational Linguistics UZH!

Blogged: Reverse-engineering OpenAI's Speculative Decoding. I was curious how GPT-4o can make use of predicted outputs to speed up text generation. vamvas.ch/openai-predi...

OpenAI's Speculative Decoding, Reverse-Engineered

Why LLMs are faster if we give them a draft to complete.

vamvas.ch

Congratulations to Dr. @shaitarova.bsky.social , who just successfully defended her thesis on "Generated Text as the Locus of Language Contact: Exploring the Impact of Generative AI on English and German". Special thanks to the external examiner Natalia Resende!

I'm thrilled to share my first PhD project, a joint work with @vamvas.bsky.social and @ricosennrich.bsky.social Paper link: arxiv.org/pdf/2503.10494 Long context LLMs have paved the way for document translation, but is simply inputting the whole content the optimal way? Here's the thread 🧵 [1/n]

Congratulations to Dr. @tannonk.bsky.social, who just successfully defended his thesis on "Leveraging Data, Decoding, and Context for Controlling Text Generation from Pretrained Language Models". Special thanks to the external examiner @feralvam.bsky.social!

Rico Sennrich (University of Zurich) is hiring a PhD student to work on representations of knowledge in multilingual language models, starting September 2024. Rico is my former advisor and I can greatly recommend working with him. Apply by January 4: jobs.uzh.ch/offene-stell...

UZH: PhD Student in Natural Language Processing

You will be joining the Department of Computational Linguistics, which has 5 faculties and around 40 postdoctoral and student researchers in the areas of text technologies, phonetics and speech. You w...

jobs.uzh.ch

Minimum Bayes Risk decoding has recently gained momentum in #NLProc. However, a generic implementation for @huggingface.bsky.social Transformers has been missing. Check out our new 𝗺𝗯𝗿🔥 repo, which is designed to work with any model and metric on the Hub: github.com/ZurichNLP/mbr

GitHub - ZurichNLP/mbr: Minimum Bayes Risk Decoding for Hugging Face Transformers

Minimum Bayes Risk Decoding for Hugging Face Transformers - GitHub - ZurichNLP/mbr: Minimum Bayes Risk Decoding for Hugging Face Transformers

github.com

Can NLP be used for highlighting differences between two documents? Our EMNLP paper investigates the task of Recognizing Semantic Differences (RSD) with simple, unsupervised approaches. • Demo: huggingface.co/spaces/Zuric... • Paper: huggingface.co/papers/2305.... #NLProc

Paper page - Towards Unsupervised Recognition of Semantic Differences in Related Documents

Join the discussion on this paper page

huggingface.co