Congratulations to the team, Darya Hryhoryeva, Amaia Zurinaga Gutierrez, Hamidreza Jamalabadi, and @igurevych.bsky.social, on this wonderful recognition! 🎉

We are looking for outstanding postdocs to join the team in 2026! Excited to shape the future of our field? Come and join us at UKP 🙌

UKP Lab@ukplab.bsky.social · 3mo ago

You bring: a #PhD in #NLP / #ML / #AI or a related field, a strong publication record at top-tier venues, and the drive to lead an independent research line. 📍 UKP Lab at @tuda.bsky.social, led by Prof. @igurevych.bsky.social - one of the world's leading NLP labs.

Happy to share a few updates and concrete results based on this position paper. Stay tuned! F. Sahinuc, S. Dutta, and I. Gurevych. “Reward Modeling for Scientific Writing Evaluation”. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics. July 2026. To appear

Expert Preference-based Evaluation of Automated Related Work Generation

Expert domain writing, such as scientific writing, typically demands extensive domain knowledge. Although large language models (LLMs) show promising potential in this task, evaluating the quality of ...

arxiv.org

Computational Linguistics Journal@complingjournal.bsky.social · 3mo ago

Generative AI has advanced. But, for complex problems, it's lagging. In this position paper, the authors propose Human–AI Co-Construction (HAI-Co2), a framework for human–AI cooperative problem solving that facilitates such interaction. Read more at: doi.org/10.1162/COLI... @igurevych.bsky.social

💬➡️🤖 𝗧𝗵𝗲 𝗢𝗿𝗶𝗴𝗶𝗻 𝗼𝗳 𝘁𝗵𝗲 𝗡𝗲𝘄 𝗪𝗼𝗿𝗹𝗱: 𝗛𝗼𝘄 𝗪𝗲 𝗜𝗻𝘃𝗲𝗻𝘁𝗲𝗱 𝗟𝗮𝗿𝗴𝗲 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗠𝗼𝗱𝗲𝗹𝘀 At #BiennaleTecnologia in Turin, I have joined Renato Beninatto to discuss the scientific ideas that helped make today’s #LLMs possible: from decades of machine translation research to the rise of attention and the Transformer.

🎓 𝗣𝗵𝗗 𝗱𝗲𝗳𝗲𝗻𝘀𝗲 𝗰𝗼𝗻𝗴𝗿𝗮𝘁𝘂𝗹𝗮𝘁𝗶𝗼𝗻𝘀 𝘁𝗼 𝗔𝗻𝗱𝗿𝗲𝗮𝘀 𝗪𝗮𝗹𝗱𝗶𝘀! Congratulations to @tresiwald.bsky.social on the successful defense of his dissertation “𝘈𝘯 𝘐𝘯𝘵𝘦𝘨𝘳𝘢𝘭 𝘝𝘪𝘦𝘸 𝘰𝘯 𝘵𝘩𝘦 𝘙𝘦𝘭𝘪𝘢𝘣𝘪𝘭𝘪𝘵𝘺 𝘰𝘧 𝘓𝘢𝘯𝘨𝘶𝘢𝘨𝘦 𝘔𝘰𝘥𝘦𝘭𝘴 𝘧𝘰𝘳 𝘊𝘰𝘮𝘱𝘶𝘵𝘢𝘵𝘪𝘰𝘯𝘢𝘭 𝘈𝘳𝘨𝘶𝘮𝘦𝘯𝘵𝘢𝘵𝘪𝘰𝘯”, held at Technische Universität Darmstadt on February 17th, 2026.

Questions? Discussion? Reach out to us. @dippedrusk.com @a-lauscher.bsky.social Dietrich Klakow @igurevych.bsky.social Full paper & code: alignedprobing.github.io (7/7)

Aligned Probing: Relating Toxic Behavior and Model Internals

Aligned Probing: Relating Toxic Behavior and Model Internals

alignedprobing.github.io

In a new briefing by the @sciencemediacenter.de, Prof. Dr. @igurevych.bsky.social (@tuda.bsky.social) notes that the study’s methodology is well aligned with its claims: It extends earlier work by the same lab showing that fine-tuning can lead to broader misalignment. (2/🧵)

🔐 𝗞𝗲𝘆𝗻𝗼𝘁𝗲 𝗯𝘆 𝗜𝗿𝘆𝗻𝗮 𝗚𝘂𝗿𝗲𝘃𝘆𝗰𝗵 𝗮𝘁 𝗥𝗼𝗮𝗱𝗺𝗮𝗽 𝘁𝗼 𝗜𝗻𝘁𝗲𝗿𝗻𝗲𝘁 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝟮𝟬𝟮𝟱 We are pleased to share that Prof. @igurevych.bsky.social, Distinguished Professor at the @athenecenter.bsky.social and Director of the UKP Lab at @tuda.bsky.social, will deliver a keynote at the ATHENE event ...

Do you like AI for Cybersecurity, Agentic AI research or both? This job is might be for you!

UKP Lab@ukplab.bsky.social · 8mo ago

🛡️ 𝗪𝗲 𝗮𝗿𝗲 𝗵𝗶𝗿𝗶𝗻𝗴 𝗳𝗼𝗿 𝘁𝗵𝗲 𝗻𝗲𝘄 𝗛𝗔𝗜𝗖𝗖 𝗽𝗿𝗼𝗷𝗲𝗰𝘁 𝗮𝘁 𝗔𝗧𝗛𝗘𝗡𝗘 Do not miss the opportunity for groundbreaking science and get a chance to work together with an amazing diverse team of leading researchers! (1/🧵)

👏🏼Congratulations🍾🥂on this fantastic award from us to 𝗜𝗿𝘆𝗻𝗮 𝗚𝘂𝗿𝗲𝘃𝘆𝗰𝗵, who is not only the🥇LOEWE top professor, but also involved in other LOEWE projects such as LOEWE @emergencity.de and @loewe-dynamic.bsky.social! @igurevych.bsky.social @tuda.bsky.social @unimarburg.bsky.social @royalsociety.org

UKP Lab@ukplab.bsky.social · 9mo ago

🏅 𝗥𝗼𝘆𝗮𝗹 𝗦𝗼𝗰𝗶𝗲𝘁𝘆 𝗠𝗶𝗹𝗻𝗲𝗿 𝗔𝘄𝗮𝗿𝗱 𝟮𝟬𝟮𝟱 𝗳𝗼𝗿 𝗜𝗿𝘆𝗻𝗮 𝗚𝘂𝗿𝗲𝘃𝘆𝗰𝗵 Yesterday evening, Iryna Gurevych was honoured by @royalsociety.org with the 𝗠𝗶𝗹𝗻𝗲𝗿 𝗔𝘄𝗮𝗿𝗱 𝗮𝗻𝗱 𝗟𝗲𝗰𝘁𝘂𝗿𝗲 𝟮𝟬𝟮𝟱, one of the most prestigious distinctions in computer science.

As part of the ceremony at the Royal Society in London, @igurevych.bsky.social delivered the Milner Prize Lecture titled 𝘏𝘰𝘸 𝘵𝘰 𝘴𝘱𝘰𝘵 𝘢𝘯𝘥 𝘥𝘦𝘣𝘶𝘯𝘬 𝘮𝘪𝘴𝘭𝘦𝘢𝘥𝘪𝘯𝘨 𝘤𝘰𝘯𝘵𝘦𝘯𝘵, addressing current challenges in detecting and countering misleading information.

The @royalsociety.org Milner Award Lecture 2025: Prof. @igurevych.bsky.social's on how AI fact checkers can be misled (similar to how humans are, in many ways) by implicit source citation fallacies, image feature training bias, and misleading chart design, and what we can do about it.

Happens tomorrow, online attendance possible!

UKP Lab@ukplab.bsky.social · 9mo ago

𝗜𝗿𝘆𝗻𝗮 𝗚𝘂𝗿𝗲𝘃𝘆𝗰𝗵 𝘁𝗼 𝗴𝗶𝘃𝗲 𝘁𝗵𝗲 𝟮𝟬𝟮𝟱 𝗠𝗶𝗹𝗻𝗲𝗿 𝗣𝗿𝗶𝘇𝗲 𝗟𝗲𝗰𝘁𝘂𝗿𝗲 𝗮𝘁 𝘁𝗵𝗲 𝗥𝗼𝘆𝗮𝗹 𝗦𝗼𝗰𝗶𝗲𝘁𝘆 We are excited to announce that on 17 November @royalsociety.org will host @igurevych.bsky.social as she gives the Milner Prize Lecture. Her lecture 𝘏𝘰𝘸 𝘵𝘰 𝘚𝘱𝘰𝘵 𝘢𝘯𝘥 𝘋𝘦𝘣𝘶𝘯𝘬 𝘔𝘪𝘴𝘭𝘦𝘢𝘥𝘪𝘯𝘨 𝘊𝘰𝘯𝘵𝘦𝘯𝘵 will also be streamed online.

It touches on fast-moving model releases, the growing relevance of AI agents and tool-use, the shift towards reasoning-oriented training, and the limits of what benchmark results really tell us. 🔗 Read the article (F+ / paywalled): www.faz.net/aktuell/wirt... (2/2)

Sprachmodelle: Wie weit die Künstliche Intelligenz wirklich ist

ChatGPT löste den bislang größten KI-Boom aus. Doch wie weit sind die Sprachmodelle inzwischen? Und wie geht es weiter? Ein Überblick.

faz.net

#INLG2025 main conference starts with not one, not two, but three keynotes! We'll hear from Minlie Huang, Iryna Gurevych (@igurevych.bsky.social), and Verena Rieser (@verenarieser.bsky.social), as well as oral and poster sessions for accepted papers.

In another Perspective, @igurevych.bsky.social and colleagues examine privacy risks in mental health AI, as well as explore solutions and evaluation frameworks to balance privacy-utility trade-offs. #mentalhealthresearch #ArtificialIntelligence ➡️ nature.com/articles/s43... 🔓 rdcu.be/eKp4v 🧵(6/8)

Towards privacy-aware mental health AI models - Nature Computational Science

In this Perspective, the authors examine privacy risks in mental health AI, and explore solutions and evaluation frameworks to balance privacy–utility trade-offs. They suggest a pipeline for developing privacy-aware mental health AI systems.

nature.com

KI mit Schweigepflicht: Forschende der TU Darmstadt & IIT Delhi zeigen, wie KI in der Psychodiagnostik helfen kann – ohne sensible Daten zu gefährden @igurevych.bsky.social 👉 tu-darmstadt.de/universitaet/aktuelles_meldungen/einzelansicht_527552.de.jsp

🤝 𝗦𝗲𝗻𝘁𝗲𝗻𝗰𝗲 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗲𝗿𝘀 𝗷𝗼𝗶𝗻𝘀 𝗛𝘂𝗴𝗴𝗶𝗻𝗴 𝗙𝗮𝗰𝗲 Originally developed at the UKP Lab at @tuda.bsky.social, Sentence Transformers has become one of the world’s most widely used open-source libraries for semantic embeddings in natural language processing. (1/🧵)

Join Professor Iryna Gurevych for the Milner Prize Lecture on 17 November. She will demonstrate how machine learning and artificial intelligence can be applied to protect people and machines from misinformation: royalsociety.org/science-even... @igurevych.bsky.social @tuda.bsky.social

🙌 𝗛𝘂𝗴𝗲 𝘁𝗵𝗮𝗻𝗸𝘀 𝘁𝗼 𝗼𝘂𝗿 𝗰𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗼𝗿𝘀! This release wouldn’t be possible without the contributions of: Sheng Lu, Nils Dycke, @atnafu.bsky.social, Thamar Solorio, Xiaodan Zhu, Koen Dercksen, Lizhen Qu, Margot Mieskes, @dirkhovy.bsky.social and @igurevych.bsky.social. (4/🧵)

This work was made possible through a great collaboration with 👩‍🔬 Anna Schroeder & Mariami Gachechiladze (Quantum Computing Group, @tuda.bsky.social) 👨‍🔬 Yue Zhang (Westlake University) 👩‍💻 @igurevych.bsky.social (@ukplab.bsky.social, @tuda.bsky.social) (2/🧵)

Quantum AI and NLP Conference 2025

Quantum AI and NLP Conference 2025 Website. The conference will be held from the 6th to the 8th of August 2025 in Bloomington, Indiana at Indiana University.

qnlp.ai

🎓 The application portal for the #ELLISPhD Program is open today! Info & link: https://bit.ly/45DSe75

ELLIS PhD Program: Call for Applications 2025

The ELLIS mission is to create a diverse European network that promotes research excellence and advances breakthroughs in AI, as well as a pan-European PhD program to educate the next generation of AI...

ellis.eu

🎓 What could a pan-European PhD program focusing on #MachineLearning & AI be like? Check out @wafaamohammed.bsky.social's reason for joining the #ELLISPhD Program. You can apply to the via our central recruiting portal starting on Oct 1st. Get all the details now 👉 bit.ly/45DSe75

📢 Call for Posters – ELLIS UnConference 2025 Have a 2025 published paper? Present it in Copenhagen on Dec 2! 🔹 Showcase your research 🔹 Get feedback & connect with peers 🔹 Grow your network 📝 Submit here: https://forms.gle/vUUdM9mah34swX7U7 📅 Deadline: Oct 23, 17:00 CEST #EurIPS

🚀 𝗞𝗲𝘆𝗻𝗼𝘁𝗲 𝗯𝘆 𝗣𝗿𝗼𝗳. 𝗜𝗿𝘆𝗻𝗮 𝗚𝘂𝗿𝗲𝘃𝘆𝗰𝗵 𝗶𝗻 𝗟𝗷𝘂𝗯𝗹𝗷𝗮𝗻𝗮 Prof. @igurevych.bsky.social, Head of the UKP Lab, is giving a keynote today at the 28th International Conference on Discovery Science 2025 in Ljubljana.

#Dagstuhl Seminar "Open Scholarly Information Systems: Iryna Gurevych @igurevych.bsky.social introduces us to AI, our dear new colleague: Are we becoming obsolete?

We’re excited to share that @igurevych.bsky.social, Director of the UKP Lab at @tuda.bsky.social, will join the expert panel to discuss the opportunities and challenges of Generative AI from a research perspective. (2/🧵)

🎤 Panel with Peter Buxmann (@tuda.bsky.social), Holger Hanselka (‪@fraunhofer.bsky.social‬), Florian Rentsch (Verband der Sparda-Banken e.V.), Sara Jourdan (@tuda.bsky.social) , Carsten Knop (@faznet.bsky.social), and @igurevych.bsky.social (@ukplab.bsky.social / @tuda.bsky.social) (3/🧵)

🎓 ATHENE Principal Investigator Prof. 𝗜𝗿𝘆𝗻𝗮 𝗚𝘂𝗿𝗲𝘃𝘆𝗰𝗵 @igurevych.bsky.social wurde in die Academia Europaea @acad-euro.bsky.social gewählt – für ihre langjährige akademische Exzellenz in den Bereichen Künstliche Intelligenz #KI & Natural Language Processing. 🎉 👉 www.athene-center.de/aktuelles/ne...

Iryna Gurevych in die Academia Europaea gewählt

06.06.2025 ATHENE Principal Investigator Prof. Iryna Gurevych ist in die Academia Europaea gewählt worden. Damit wird ihre langjährige akademische Exzellenz und internationale Sichtbarkeit in den Be...

athene-center.de

This is a unique opportunity to work with @igurevych.bsky.social and the team on the intersection of AI Safety, Natural Language Processing and Machine Learning. (2/🧵)