https://www.ukp.tu-darmstadt
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.
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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.
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#NLProc #AI #AgenticAI #UKPLab #Copilot #MachineLearning #TechLeadership #StartupJourney #ComputationalLinguistics
#NLProc #AI #AgenticAI #UKPLab #Copilot #MachineLearning #TechLeadership #StartupJourney #ComputationalLinguistics
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.
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.
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.
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.
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.
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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.
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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.
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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.
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➡️ 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.
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➡️ 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.
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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🧠✅
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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🧠✅
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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.
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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.
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Researchers at UKP Lab introduce #POATE, a jailbreak technique that exploits contrastive reasoning to bypass safety mechanisms in large language models.
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Researchers at UKP Lab introduce #POATE, a jailbreak technique that exploits contrastive reasoning to bypass safety mechanisms in large language models.
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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.
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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.
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Join top German universities exploring Active, Challenging, Observational & Systemic AI.
💡 Deadline: Nov 16, 2025
🔗 hessian.ai/projects/rea...
#AI #PhD #Research #MachineLearning #Germany
Join top German universities exploring Active, Challenging, Observational & Systemic AI.
💡 Deadline: Nov 16, 2025
🔗 hessian.ai/projects/rea...
#AI #PhD #Research #MachineLearning #Germany
“Illusion or Algorithm? Investigating Memorization, Emergence, and Symbolic Processing in In-Context Learning”
📃 Paper: openreview.net/forum?id=10Q...
💻 Code: github.com/UKPLab/tmlr2...
“Illusion or Algorithm? Investigating Memorization, Emergence, and Symbolic Processing in In-Context Learning”
📃 Paper: openreview.net/forum?id=10Q...
💻 Code: github.com/UKPLab/tmlr2...
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?
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?