@ukplab
The Ubiquitous Knowledge Processing Lab researches Natural Language Processing (#NLProc) with a strong emphasis on Large Language Models, Conversational AI & Question Answering | @cs-tudarmstadt.bsky.social · @TUDa.bsky.social https://www.ukp.tu-darmstadt
👏 Congratulations on this achievement and all the best for Cecilia’s new role as postdoctoral researcher at the @cam.ac.uk!
#NLP #PhDDefense #MultilingualAI #CulturalAI #LanguageModels #UKPLab #TUDarmstadt @cs-tudarmstadt.bsky.social
👥 Jury: @igurevych.bsky.social (TU Darmstadt), Fajri Koto (MBZUAI (Mohamed bin Zayed University of Artificial Intelligence)), Anna Rohrbach (TU Darmstadt), @justusthies.bsky.social (TU Darmstadt)
Cecilia’s thesis marks a strong contribution to 𝗺𝘂𝗹𝘁𝗶𝗹𝗶𝗻𝗴𝘂𝗮𝗹 𝗮𝗻𝗱 𝗰𝘂𝗹𝘁𝘂𝗿𝗮𝗹𝗹𝘆 𝗮𝘄𝗮𝗿𝗲 𝗡𝗟𝗣. It is an important step toward more reliable and context sensitive language technologies.
Her work further demonstrates how situated evaluation and social interaction settings can deepen our understanding of cultural competence in language models and help create more nuanced and context sensitive NLP systems.
... how language models can better generalize across languages and adapt to cultural contexts. Combining parameter efficient fine tuning with insights from cultural learning theory, she shows how targeted training interventions can improve robustness and multilingual performance.
Smiling person standing in a doorway wearing a handmade graduation cap decorated with stickers and photos. They hold the cap with one hand, carry a tote bag over their shoulder, and hold a smartphone in the other hand. A hallway with chairs and large windows is visible in the background.
🎓 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 ...
#UKPLab #TUDarmstadt #NLP #NLProc #AIinEducation #AcademicWriting #Feedback #HigherEducation #LLMentor #CSDeptDarmstadt #hessianAI
The team behind the project are Prof. @igurevych.bsky.social, Dr. Thomas Arnold, and Dennis Zyska at @ukplab.bsky.social, as well as Prof. Florian Müller (Mobile Human-Computer Interaction, @cs-tudarmstadt.bsky.social). It has been partially supported by @hessianai.bsky.social
This work is based on 𝗘𝘅𝗽𝗼𝘀í𝗮, a dataset documenting the full course process from draft essays to final revised versions. It enables systematic research on where AI can reliably support academic writing assessment.
📄 𝗘𝘅𝗽𝗼𝘀í𝗮: arxiv.org/abs/2601.06536
🔗 𝗖𝗔𝗥𝗘: care.ukp.informatik.tu-darmstadt.de
✅ 𝗪𝗵𝗮𝘁 𝗟𝗟𝗠𝗲𝗻𝘁𝗼𝗿 𝗱𝗼𝗲𝘀
suggests preliminary scores for evaluation criteria
provides short justifications
proposes feedback
🙅 𝗪𝗵𝗮𝘁 𝗶𝘁 𝗱𝗼𝗲𝘀 𝗻𝗼𝘁 𝗱𝗼
it does 𝗻𝗼𝘁 grade automatically
it does 𝗻𝗼𝘁 replace lecturers or tutors
All decisions remain with the instructors 👩🏫
📰 @tuda.bsky.social just published a press release about the project, the research and the team behind it:
➡️ www.tu-darmstadt.de/universitaet...
It is integrated into the existing 𝗖𝗔𝗥𝗘 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺 and provides transparent suggestions for assessing research exposes and peer-feedback written by students.
University classroom scene in which students sit at desks while a lecturer presents at the front. One student raises a hand while interacting with a large transparent digital interface showing a document and evaluation tools for academic writing, illustrating AI-assisted feedback and assessment during a seminar.
🎓 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! 🚀
💻 Project page:
ukplab.github.io/arxiv2025-ex...
🔁 Both papers build on HAI-Co2 described in this position paper:
direct.mit.edu/coli/article...
#NLP #NLProc #LLMs #Evaluation #PreferenceLearning #ScientificWriting #HumanAI #HaiCo2 @tuda.bsky.social @cs-tudarmstadt.bsky.social
📑 𝗘𝘅𝗽𝗲𝗿𝘁 𝗣𝗿𝗲𝗳𝗲𝗿𝗲𝗻𝗰𝗲 𝗯𝗮𝘀𝗲𝗱 𝗘𝘃𝗮𝗹𝘂𝗮𝘁𝗶𝗼𝗻 𝗼𝗳 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗲𝗱 𝗥𝗲𝗹𝗮𝘁𝗲𝗱 𝗪𝗼𝗿𝗸 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻
Furkan Şahinuç, Subhabrata Dutta, Iryna Gurevych
arxiv.org/abs/2508.07955
🧾 𝗥𝗲𝘄𝗮𝗿𝗱 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴 𝗳𝗼𝗿 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝗳𝗶𝗰 𝗪𝗿𝗶𝘁𝗶𝗻𝗴 𝗘𝘃𝗮𝗹𝘂𝗮𝘁𝗶𝗼𝗻
Furkan Şahinuç, Subhabrata Dutta, Iryna Gurevych
arxiv.org/abs/2601.11374
Scientific writing is an open-end expert task utilizing user preferences. Evaluating it means capturing both general and expert-specific quality criteria. Our new works push forward preference-aligned evaluation.
Poster titled “Reward Modeling for Scientific Writing Evaluation & Expert Preference Based Evaluation of Automated Related Work Generation,” with authors Furkan Sahinuç, Subhabrata Dutta, and Iryna Gurevych. The graphic illustrates a workflow: cited papers are used by an author to create a gold standard related work section and evaluation criteria, while AI generators produce draft related work sections. An LLM-supported evaluation system ranks outputs based on expert preferences, with feedback loops to improve generation quality.
📣🧪 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:
We thank Andreas for his contributions to the Lab and wish him all the best for his future!
#NLP #PhDDefense #ComputationalArgumentation #Reliability #Interpretability #UKPLab #TUDarmstadt #UniTuebingen #LLMs #NLProc
👥 Jury: Marcus Rohrbach (@tuda.bsky.social), @igurevych.bsky.social (@tuda.bsky.social), Fajri Koto (MBZUAI (Mohamed bin Zayed University of Artificial Intelligence), Simone Schaub-Meyer (@tuda.bsky.social), Yufang Hou (@ituaustria.bsky.social)
We are excited to highlight that Andreas is now a PostDoc and Junior Group Leader at @unituebingen.bsky.social, working with Michael Franke in the Cognitive Science and Pragmatics group.
... and cognitive theories to better understand how language models operate and where their limitations lie.
Andreas delivers a valuable contribution to the field of 𝗿𝗲𝗹𝗶𝗮𝗯𝗹𝗲 𝗮𝗻𝗱 𝗶𝗻𝘁𝗲𝗿𝗽𝗿𝗲𝘁𝗮𝗯𝗹𝗲 𝗡𝗟𝗣 and an important step toward more robust language technologies.
Andreas examines the reliability of language models in computational argumentation, focusing on how their outputs can be interpreted and evaluated more systematically. His work connects interpretability methods with linguistic ...
🎓 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.
#NLP #LLMs #MentalHealth #ClinicalNLP #DigitalHealth #ResponsibleAI #NLProc #AIevaluation #ModelEvaluation #TrustworthyAI #Safety #Equity #HumanCenteredAI
This work has been supported by the LOEWE program as part of @loewe-dynamic.bsky.social, the LOEWE Chair of Excellence “Ubiquitous Knowledge Processing” in Hesse, Germany and @dagstuhl.de through the Dagstuhl Seminar ‘25361: Natural Language Processing for Mental Health’.
· @florplaza.bsky.social (@unileiden.bsky.social) · @dirkhovy.bsky.social (Università Bocconi) · Maria Liakata (Queen Mary University of London) · @igurevych.bsky.social (@tuda.bsky.social)
@schwartz-psyres.bsky.social (@unitrier.bsky.social) · @wlutzpsyres.bsky.social (@unitrier.bsky.social) · Tim Althoff (University of Washington) · Munmun De Choudhury (Georgia Institute of Technology) · Hamidreza Jamalabadi (@unimarburg.bsky.social) · Raj Shah (Georgia Institute of Technology) [...]
👥 𝗔𝘂𝘁𝗵𝗼𝗿𝘀:
Hiba Arnaout (@tuda.bsky.social) · @anmolgoel.bsky.social (@tuda.bsky.social) · H. Andrew Schwartz (@vanderbilt.edu) · Steffen T. Eberhardt (@unitrier.bsky.social) · Dana Atzil-Slonim (Bar-Ilan University) · Gavin Doherty (Trinity College Dublin) [...]