“𝗬𝗼𝘂𝗿 𝗽𝗮𝗽𝗲𝗿 𝗶𝘀 𝗻𝗼𝘁 𝗻𝗼𝘃𝗲𝗹 𝗲𝗻𝗼𝘂𝗴𝗵.”🙅 We have all seen this infamous comment from Reviewer #2. But 𝗵𝗼𝘄 𝗿𝗲𝗹𝗶𝗮𝗯𝗹𝗲 𝗶𝘀 𝘁𝗵𝗲 𝗻𝗼𝘃𝗲𝗹𝘁𝘆 𝗮𝘀𝘀𝗲𝘀𝘀𝗺𝗲𝗻𝘁 𝘁𝗼𝗱𝗮𝘆?🤔

🚨 Introducing 𝗚𝗿𝗶𝘁𝗛𝗼𝗽𝗽𝗲𝗿, the new State-of-the-Art Multi-Hop Dense Retriever 🦗 Current approaches to multi-hop retrieval face critical trade-offs. 🔎 Decomposition-based methods break complex queries into simpler steps, but they are computationally expensive and difficult to train end-to-end.

🎓 𝗗𝗶𝘀𝘀𝗲𝗿𝘁𝗮𝘁𝗶𝗼𝗻 𝗗𝗲𝗳𝗲𝗻𝘀𝗲 – 𝗖𝗲𝗰𝗶𝗹𝗶𝗮 Congratulations to @ccliu.bsky.social on the successful PhD defense at the UKP Lab of @tuda.bsky.social In her thesis 𝘎𝘦𝘯𝘦𝘳𝘢𝘭𝘪𝘻𝘢𝘵𝘪𝘰𝘯 𝘢𝘯𝘥 𝘈𝘥𝘢𝘱𝘵𝘢𝘵𝘪𝘰𝘯 𝘰𝘧 𝘓𝘢𝘯𝘨𝘶𝘢𝘨𝘦 𝘔𝘰𝘥𝘦𝘭𝘴 𝘵𝘰 𝘓𝘢𝘯𝘨𝘶𝘢𝘨𝘦𝘴 𝘢𝘯𝘥 𝘊𝘶𝘭𝘵𝘶𝘳𝘦𝘴, Cecilia investigates ...

🎓 𝗔𝗜 𝘁𝗼 𝘀𝘂𝗽𝗽𝗼𝗿𝘁 𝗰𝗼𝘂𝗿𝘀𝗲 𝗶𝗻𝘀𝘁𝗿𝘂𝗰𝘁𝗼𝗿𝘀 𝗻𝗼𝘁 𝘁𝗼 𝗿𝗲𝗽𝗹𝗮𝗰𝗲 𝘁𝗵𝗲𝗺! In 𝘄𝗶𝗻𝘁𝗲𝗿 𝘀𝗲𝗺𝗲𝘀𝘁𝗲𝗿 𝟮𝟬𝟮𝟱/𝟮𝟲, our AI-based system 𝗟𝗟𝗠𝗲𝗻𝘁𝗼𝗿 has supported teaching the course 𝘐𝘯𝘵𝘳𝘰𝘥𝘶𝘤𝘵𝘪𝘰𝘯 𝘵𝘰 𝘚𝘤𝘪𝘦𝘯𝘵𝘪𝘧𝘪𝘤 𝘞𝘰𝘳𝘬 at @cs-tudarmstadt.bsky.social

Thanks a lot to everyone for the support, guidance, mentoring, collaboration, and great moments over the past years! 🙏 Without you, this journey wouldn't have been such a pleasure — and now excited to see what the future brings! 🚀

📣🧪 𝗡𝗲𝘄 𝗿𝗲𝘀𝘂𝗹𝘁𝘀: 𝗘𝘃𝗮𝗹𝘂𝗮𝘁𝗶𝗻𝗴 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝗳𝗶𝗰 𝗪𝗿𝗶𝘁𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗘𝘅𝗽𝗲𝗿𝘁 𝗣𝗿𝗲𝗳𝗲𝗿𝗲𝗻𝗰𝗲𝘀 👉 Today we are presenting our first two papers that build on HAI-Co2, our recent position paper on human-ai text co-construction in expert domains:

🎓 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.

🔎🧩 𝗕𝗲𝘆𝗼𝗻𝗱 𝗕𝗲𝗻𝗰𝗵𝗺𝗮𝗿𝗸𝘀: 𝗛𝗼𝘄 𝘁𝗼 𝗘𝘃𝗮𝗹𝘂𝗮𝘁𝗲 𝗠𝗲𝗻𝘁𝗮𝗹 𝗛𝗲𝗮𝗹𝘁𝗵 𝗔𝗜 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗹𝘆 AI for mental health is a high-stakes area: its evaluation needs to meet the highest expectations. The new preprint 𝘙𝘦𝘴𝘱𝘰𝘯𝘴𝘪𝘣𝘭𝘦 𝘌𝘷𝘢𝘭𝘶𝘢𝘵𝘪𝘰𝘯 𝘰𝘧 𝘈𝘐 𝘧𝘰𝘳 𝘔𝘦𝘯𝘵𝘢𝘭 𝘏𝘦𝘢𝘭𝘵𝘩, written by an interdisciplinary team spanning AI [...]

⚕️ 𝗖𝗵𝗮𝘁𝗯𝗼𝘁𝘀 𝗳𝗼𝗿 𝗵𝗲𝗮𝗹𝘁𝗵 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀: 𝘄𝗵𝗲𝗿𝗲 𝗱𝗼𝗲𝘀 𝗰𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗯𝗿𝗲𝗮𝗸 𝗱𝗼𝘄𝗻? In a new briefing by @sciencemediacenter.de, Prof. Dr. @igurevych.bsky.social (UKP Lab, @tuda.bsky.social) highlights why the gap between benchmarks and real-world use matters: 𝗯𝗲𝗻𝗰𝗵𝗺𝗮𝗿𝗸𝘀 𝗮𝗿𝗲 𝗼𝗳𝘁𝗲𝗻 𝘀𝗶𝗺𝗽𝗹𝗶𝗳𝗶𝗲𝗱 𝗮𝗻𝗱 𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲𝗱.

🔍 𝗗𝗼 𝘆𝗼𝘂 𝘄𝗮𝗻𝘁 𝘁𝗼 𝗶𝗺𝗽𝗿𝗼𝘃𝗲 𝗺𝘂𝗹𝘁𝗶-𝘀𝘁𝗲𝗽 𝗿𝗲𝗮𝘀𝗼𝗻𝗶𝗻𝗴 𝗶𝗻 𝗟𝗟𝗠𝘀 𝘄𝗶𝘁𝗵𝗼𝘂𝘁 𝗰𝗼𝗺𝗽𝗹𝗲𝘅 𝗲𝘅𝘁𝗲𝗿𝗻𝗮𝗹 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀? ⚠️ Step-level Process Supervision is great! 𝗕𝗨𝗧: 👩‍⚖️ Human Labelling is slow and expensive 🌿 Tree-search methods are computationally intensive ⏮️ Past methods use fragmented pipelines with limited step alignment

📢 𝗨𝗞𝗣 𝗟𝗮𝗯 𝗮𝘁 𝗜𝗖𝗟𝗥𝟮𝟬𝟮𝟲 📢 Happy to share that our paper has been accepted to @iclr-conf.bsky.social 🎉 📜 𝚁𝚎𝚟𝚎𝚕𝚊: 𝗗𝗲𝗻𝘀𝗲 𝗥𝗲𝘁𝗿𝗶𝗲𝘃𝗲𝗿 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝘃𝗶𝗮 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴 👥 Fengyu Cai, Tong Chen, @xinranz3.bsky.social, Sihao Chen, Hongming Zhang, @sherrytswu.bsky.social, @igurevych.bsky.social, Heinz Koeppl

🎓 𝗚𝘂𝗲𝘀𝘁 𝗧𝗮𝗹𝗸 𝗮𝘁 𝘁𝗵𝗲 𝗨𝗞𝗣 𝗟𝗮𝗯 👋 We were pleased to welcome Dr. Chung-Chi Chen, researcher at the National Institute of Advanced Industrial Science and Technology (AIST), for a guest talk at the UKP Lab in Darmstadt.

📣 Wir sind beim 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗸 𝗢𝘀𝘁𝗲𝗿𝗰𝗮𝗺𝗽 (31.3. bis 2.4. 2026) dabei: 𝗙𝗮𝗸𝗲 𝗡𝗲𝘄𝘀 𝗮𝘂𝗳 𝗱𝗲𝗿 𝗦𝗽𝘂𝗿: 🔎 𝗪𝗲𝗿𝗱𝗲 𝘇𝘂𝗿 𝗡𝗮𝗰𝗵𝗿𝗶𝗰𝗵𝘁𝗲𝗻 𝗗𝗲𝘁𝗲𝗸𝘁𝗶𝘃𝗶𝗻! Gefälschte Bilder , manipulierte Videos , erfundene Schlagzeilen: Im Netz ist nicht alles echt 🤔 In unserem Workshop nehmen wir „verdächtige“ Inhalte unter die Lupe!

⚠️ 𝗖𝗮𝗻 𝗳𝗶𝗻𝗲-𝘁𝘂𝗻𝗶𝗻𝗴 𝗹𝗲𝗮𝗱 𝘁𝗼 𝘂𝗻𝘄𝗮𝗻𝘁𝗲𝗱 𝗯𝗲𝗵𝗮𝘃𝗶𝗼𝘂𝗿𝘀 𝗶𝗻 𝗹𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗺𝗼𝗱𝗲𝗹𝘀? A recent paper in Nature suggests that even small amounts of targeted fine-tuning data can trigger unexpected and problematic behaviour that generalises beyond the original pre-training task. (1/🧵)

🎓 𝗚𝘂𝗲𝘀𝘁 𝗧𝗮𝗹𝗸 𝗮𝘁 𝘁𝗵𝗲 𝗨𝗞𝗣 𝗟𝗮𝗯 👋 We were pleased to welcome Fajri Koto, Assistant Professor at the MBZUAI (Mohamed bin Zayed University of Artificial Intelligence), for a guest talk at the UKP Lab in Darmstadt. (1/🧵)

🎉 𝗨𝗞𝗣 𝗟𝗮𝗯 𝗮𝘁 𝗘𝗔𝗖𝗟 𝟮𝟬𝟮𝟲 🌍 We are pleased to share that researchers from the UKP Lab and their collaborators will present 𝟵 𝗽𝗮𝗽𝗲𝗿𝘀 𝗮𝘁 𝘁𝗵𝗲 𝗠𝗮𝗶𝗻 𝗖𝗼𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 at the #EACL2026, one of the leading international conferences in #NLP and #CL, bringing together research from across Europe and beyond.

🎤 Prof. Iryna Gurevych, Distinguished Professor at the National Center for Cybersecurity @athenecenter.bsky.social and Director of the UKP Lab at @tuda.bsky.social, delivered a keynote on “How to Make AI-Native Internet Content Secure? Coping with Synthetic and Misleading Data.”

🚀 𝗟𝗮𝘁𝗲𝘀𝘁 𝗣𝗲𝗲𝗿 𝗥𝗲𝘃𝗶𝗲𝘄 𝗗𝗮𝘁𝗮𝘀𝗲𝘁 𝗥𝗲𝗹𝗲𝗮𝘀𝗲 𝗳𝗿𝗼𝗺 𝗔𝗥𝗥 𝟮𝟬𝟮𝟱! tudatalib.ulb.tu-darmstadt.de/handle/tudat... 📊 𝗙𝗶𝗿𝘀𝘁-𝘁𝗶𝗺𝗲 𝗥𝗲𝗹𝗲𝗮𝘀𝗲: 𝗘𝗠𝗡𝗟𝗣 𝟮𝟬𝟮𝟰 𝗡𝗼𝗻-𝗔𝗰𝗰𝗲𝗽𝘁𝗲𝗱 𝗦𝘂𝗯𝗺𝗶𝘀𝘀𝗶𝗼𝗻𝘀: ✅ 𝟯𝗸 papers ✅ 𝟱𝟬𝟬 reviews ✅ 𝟭𝟳𝟱 meta-reviews ✅ 𝟯𝟮𝟵 papers with rebuttals

✨ 𝗔 𝘄𝗮𝗿𝗺 𝘄𝗲𝗹𝗰𝗼𝗺𝗲 𝘁𝗼 𝗼𝘂𝗿 𝗻𝗲𝘄 𝗣𝗵𝗗 𝘀𝘁𝘂𝗱𝗲𝗻𝘁, 𝗗𝗮𝘀𝗵𝗮 𝗛𝗿𝘆𝗵𝗼𝗿𝘆𝗲𝘃𝗮 We’re very happy to welcome Dasha Hryhoryeva as a new PhD student at the UKP Lab. Her research focuses on AI for Mental Health and AI for Social Good, with current work on emotion prediction using large language models. (1/🧵)

🎄INCEpTION 39.0 is available. 💫 New activity overview for project managers, export annotations directly from the workload management, improved explorer, bulk-deactivation of accounts, ... and more! github.com/inception-pr... #inceptiontap #opensource #textannotation

💻 𝗪𝗲𝗹𝗰𝗼𝗺𝗲 𝘁𝗼 𝘁𝗵𝗲 𝗨𝗞𝗣 𝗟𝗮𝗯, 𝗕𝗵𝗮𝘃𝘆𝗮𝗷𝗲𝗲𝘁 𝗦𝗶𝗻𝗴𝗵! We’re happy to welcome Bhavyajeet Singh as a new PhD student at the UKP Lab. He recently joined the LLMs for Security project, which is part of the ATHENE Center for Cybersecurity, and works on using large language models to generate secure code. (1/🧵)

🔐 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 ...

🌐 𝗩𝗶𝘀𝗶𝘁𝗶𝗻𝗴 𝗣𝗿𝗼𝗳𝗲𝘀𝘀𝗼𝗿 𝗮𝘁 𝘁𝗵𝗲 𝗨𝗞𝗣 𝗟𝗮𝗯: 𝗬𝘂𝗲 𝗙𝗲𝗻𝗴 We are pleased to host Asst. Prof. Yue Feng (University of Birmingham) as a visiting professor at the @ukplab.bsky.social.

🛡️ 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/🧵)

𝗧𝗵𝗲𝘀𝗶𝘀 𝗗𝗮𝘆 𝗮𝘁 𝘁𝗵𝗲 𝗨𝗞𝗣 𝗟𝗮𝗯 🎓 In the summer semester 2025, the UKP Lab accepted its largest cohort of thesis students to date, with more than 20 students. The group came together yesterday for a full-day workshop to present and discuss their final thesis work. (1/🧵)

🏅 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.

𝗧𝗵𝗲 𝘀𝗵𝗼𝘄 𝗴𝗼𝗲𝘀 𝗼𝗻 𝘁𝗼𝗱𝗮𝘆 𝗶𝗻 𝗟𝗼𝗻𝗱𝗼𝗻 After a productive first day, the UKP Lab continues its visit with a stop at The Alan Turing Institute. 🕙 Time: 10:00–12:00, 18 November 📍 Venue: Alan Turing Institute, British Library

🧭 “𝗧𝗵𝗲 𝗽𝗮𝘀𝘁, 𝗽𝗿𝗲𝘀𝗲𝗻𝘁 𝗮𝗻𝗱 𝗳𝘂𝘁𝘂𝗿𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗨𝗞𝗣 𝗟𝗮𝗯” - 𝗪𝗼𝗿𝗸𝘀𝗵𝗼𝗽 𝗶𝗻 𝗖𝗮𝗺𝗯𝗿𝗶𝗱𝗴𝗲 Today, members of the international UKP Lab community gather in Cambridge to reflect on the Lab’s journey over the past two decades and to exchange perspectives on what lies ahead for NLP research. (1/🧵)

𝗙𝗿𝗼𝗺 𝘀𝘁𝗮𝗿𝘁𝘂𝗽 𝗳𝗼𝘂𝗻𝗱𝗲𝗿 𝘁𝗼 𝗦𝗲𝗻𝗶𝗼𝗿 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁 𝗮𝘁 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 🚀 In this edition of Spotlight on UKP Lab Alumni, we’re featuring Krish Perumal, now a Senior Data Scientist at Microsoft, where he works on applied research in Agentic AI for Microsoft Copilot Studio.

Misleading content can be both hard to spot and dangerous. But how can we identify and debunk it? Join Professor Iryna Gurevych for the free Milner Prize Lecture on 17 November as she explores: https://royalsociety.org/science-events-and-lectures/2025/11/how-to-spot-and-debunk-misleading-content/

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.

📰 𝗙𝗔𝗭 𝗮𝗿𝘁𝗶𝗰𝗹𝗲 𝗯𝘆 𝗜𝗿𝘆𝗻𝗮 𝗚𝘂𝗿𝗲𝘃𝘆𝗰𝗵 𝗮𝗻𝗱 𝗜𝗿𝗶𝗻𝗮 𝗕𝗶𝗴𝗼𝘂𝗹𝗮𝗲𝘃𝗮 The @faznet.bsky.social has published an article by Prof. @igurevych.bsky.social and Irina Bigoulaeva that offers a concise look at where large language models stand today. (1/🧵)

📝 𝗪𝗵𝗮𝘁 𝗮𝘀𝗽𝗲𝗰𝘁𝘀 𝗱𝗼 𝗿𝗲𝘃𝗶𝗲𝘄𝗲𝗿𝘀 𝗳𝗼𝗰𝘂𝘀 𝗼𝗻 𝗶𝗻 𝗽𝗲𝗲𝗿 𝗿𝗲𝘃𝗶𝗲𝘄𝘀? UKP Lab researchers present a framework for automated aspect analysis that helps to understand how reviewers evaluate papers by identifying criteria such as 𝗡𝗼𝘃𝗲𝗹𝘁𝘆, 𝗦𝗼𝘂𝗻𝗱𝗻𝗲𝘀𝘀, or 𝗗𝗮𝘁𝗮𝘀𝗲𝘁 𝘃𝗮𝗹𝗶𝗱𝗶𝘁𝘆. (1/🧵)

𝗧𝗶𝗿𝗲𝗱 𝗼𝗳 𝘆𝗼𝘂𝗿 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁 𝗺𝗮𝗸𝗶𝗻𝗴 𝗺𝗮𝗻𝘆 𝗲𝗿𝗿𝗼𝗿𝘀? ➡️ We’ve got the solution! Meet 𝗦𝗘𝗘𝗘𝗗 🌱 — a framework for 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗲𝗱 𝗘𝗿𝗿𝗼𝗿 𝗗𝗶𝘀𝗰𝗼𝘃𝗲𝗿𝘆 in conversational AI. 🧩 SEEED detects both 𝗸𝗻𝗼𝘄𝗻 𝗮𝗻𝗱 𝗽𝗿𝗲𝘃𝗶𝗼𝘂𝘀𝗹𝘆 𝘂𝗻𝘀𝗲𝗲𝗻 𝗲𝗿𝗿𝗼𝗿 𝘁𝘆𝗽𝗲𝘀, and even 𝗴𝗲𝗻𝗲𝗿𝗮𝘁𝗲𝘀 𝗱𝗲𝗳𝗶𝗻𝗶𝘁𝗶𝗼𝗻𝘀 for newly discovered ones. (1/🧵)

🤖 𝗛𝗼𝘄 𝗰𝗮𝗻 𝘄𝗲 𝘀𝘁𝗼𝗽 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁𝘀 𝗳𝗿𝗼𝗺 𝘁𝗮𝗸𝗶𝗻𝗴 𝘁𝗵𝗲 𝘄𝗿𝗼𝗻𝗴 𝗮𝗰𝘁𝗶𝗼𝗻—𝙗𝙚𝙛𝙤𝙧𝙚 𝙞𝙩 𝙝𝙖𝙥𝙥𝙚𝙣𝙨? Imagine your shopping agent accidentally buying something expensive you didn’t want! 💸 #InferAct keeps your AI agents reliable and safe by rectifying misaligned actions 𝗯𝗲𝗳𝗼𝗿𝗲 they occur🧠✅ (1/🧵)

🎙️ “𝗙𝗿𝗼𝗺 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺𝘀 𝘁𝗼 𝗜𝗻𝘁𝘂𝗶𝘁𝗶𝗼𝗻 – 𝗪𝗵𝗮𝘁 𝗔𝗜 𝗖𝗮𝗻 𝗟𝗲𝗮𝗿𝗻 𝗳𝗿𝗼𝗺 𝗛𝘂𝗺𝗮𝗻 𝗥𝗲𝗮𝘀𝗼𝗻𝗶𝗻𝗴” Prof. @igurevych.bsky.social, Director of the UKP Lab at @tuda.bsky.social and Academic Fellow of the @zuseschooleliza.bsky.social, took part in an interdisciplinary panel at the #DAAD Zuse Schools Herbst Event 2025. (1/🧵)

𝗪𝗵𝗲𝗻 𝗮𝗻 𝗟𝗟𝗠’𝘀 𝗼𝘄𝗻 𝗹𝗼𝗴𝗶𝗰 𝗯𝗲𝗰𝗼𝗺𝗲𝘀 𝗶𝘁𝘀 𝗯𝗶𝗴𝗴𝗲𝘀𝘁 𝘄𝗲𝗮𝗸𝗻𝗲𝘀𝘀 😧 Researchers at UKP Lab introduce #POATE, a jailbreak technique that exploits contrastive reasoning to bypass safety mechanisms in large language models. (1/🧵)

🚀 𝗝𝗼𝗶𝗻 𝘁𝗵𝗲 𝗭𝘂𝘀𝗲 𝗦𝗰𝗵𝗼𝗼𝗹 𝗘𝗟𝗜𝗭𝗔 𝗶𝗻 𝗗𝗮𝗿𝗺𝘀𝘁𝗮𝗱𝘁! Interested in world-class research? Please apply and indicate your interest to join the team of @ukplab.bsky.social at @tuda.bsky.social, led by Prof. @igurevych.bsky.social. 🔗 www.tu-darmstadt.de/forschen/for... 📍 Location: Darmstadt 🗓️ Start: 01.01.2026

🤝 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/🧵)

🚀 Apply now for a PhD with the new RAI – Reasonable Artificial Intelligence Cluster of Excellence! Join top German universities exploring Active, Challenging, Observational & Systemic AI. 💡 Deadline: Nov 16, 2025 🔗 hessian.ai/projects/rea... #AI #PhD #Research #MachineLearning #Germany

🚀 New paper out in TMLR! “Illusion or Algorithm? Investigating Memorization, Emergence, and Symbolic Processing in In-Context Learning” 📃 Paper: openreview.net/forum?id=10Q... 💻 Code: github.com/UKPLab/tmlr2...

🧠 AI with Confidentiality: A Privacy Roadmap for Mental Health New publication in Nature Computational Science ✨ Mental health data is among the most sensitive information people share. How can AI support diagnosis and therapy without compromising privacy?

🚀 𝗟𝗮𝘁𝗲𝘀𝘁 𝗣𝗲𝗲𝗿 𝗥𝗲𝘃𝗶𝗲𝘄 𝗗𝗮𝘁𝗮𝘀𝗲𝘁 𝗥𝗲𝗹𝗲𝗮𝘀𝗲 𝗳𝗿𝗼𝗺 𝗔𝗥𝗥 𝟮𝟬𝟮𝟱! tudatalib.ulb.tu-darmstadt.de/handle/tudat... 📊 𝗡𝗲𝘄𝗹𝘆 𝗮𝗱𝗱𝗲𝗱 𝗔𝗖𝗟 𝟮𝟬𝟮𝟱 𝗱𝗮𝘁𝗮: ✅ 𝟮𝗸 papers ✅ 𝟮𝗸 reviews ✅ 𝟴𝟰𝟵 meta-reviews ✅ 𝟭.𝟱𝗸 papers with rebuttals (1/🧵)

✨ Exciting news from the #QNLP Conference 2025 in Bloomington, Indiana! @akatief.bsky.social gave a talk on “An Efficient Quantum Classifier Based on Hamiltonian Representations” — exploring how quantum computing can open new frontiers for natural language processing. (1/🧵)

👉 Interested in working on AI for mental health? This is a 𝗺𝘂𝘀𝘁-𝗿𝗲𝗮𝗱 𝘀𝗶𝗻𝗰𝗲 𝘁𝗵𝗲 𝗱𝗮𝘁𝗮 𝗮𝘃𝗮𝗶𝗹𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗶𝘀 𝗮 𝗺𝗮𝗷𝗼𝗿 𝗯𝗼𝘁𝘁𝗹𝗲𝗻𝗲𝗰𝗸! Our survey maps the mental health dataset landscape, covering a wide range of disorders, tasks, modalities, accessibility, synthetic data, and cultural reach. (1/🧵)

🚀 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.

🚀 We’re excited to continue our 𝘚𝘱𝘰𝘵𝘭𝘪𝘨𝘩𝘵 𝘰𝘯 𝘜𝘒𝘗 𝘓𝘢𝘣 𝘈𝘭𝘶𝘮𝘯𝘪 series with Yang Gao, now a Research Scientist at #Google #DeepMind, where he works on the Google #Gemini language models. (1/🧵)

🔁 Prof. Iryna Gurevych, Director of the UKP Lab at TU Darmstadt, is featured in this ATHENE video portrait. 🎥 The video (in German) introduces her research on disinformation and cognitive security, where methods from #NLP intersect with questions of #cybersecurity. ⬇️ Watch the video portrait here

Fail to utilize LLM-as-a-judge systems for evaluating expert writing tasks?🤔 They often don’t know what to judge (missing expert criteria) and don’t know how to judge (lacking structured evaluation). In our new paper, we integrate task-specific criteria with expert preferences. 🚀 (1/🧵)

🎉 𝗨𝗞𝗣 𝗟𝗮𝗯 𝗮𝘁 𝗘𝗠𝗡𝗟𝗣 𝟮𝟬𝟮𝟱 𝗶𝗻 𝗦𝘂𝘇𝗵𝗼𝘂 Researchers from the UKP Lab at @tuda.bsky.social and their collaborators celebrate the acceptance of 9 papers in the Main Conference and 1 paper in Findings at #EMNLP2025 in Suzhou. Here is the full list of accepted papers 🔎