Reminder for the talk tomorrow: see you at the Hörsaal of Maria-von-Linden-Straße 6 at 11:00 A.M.

Like many areas of machine learning, information retrieval has increasingly adopted large neural models, making mechanistic interpretability more important than ever. A key technique in this space is activation patching, which aims to localize where and how models encode relevance signals.

Next Friday, we’re looking forward to welcoming Kay Brosien, COO of x-cardiac GmbH, to Tübingen for a talk on one of the less glamorous but absolutely critical parts of AI research in medicine: regulation⚖️

@twiml.bsky.social are organizing their 4th workshop to bring together ML researchers and enthusiasts in Tübingen. It’s a wonderful opportunity to meet peers, exchange ideas, discuss research, and share your academic journey. Follow their page and stay tuned for more details about the workshop.

🚀 #JobAlert! Permanent Administrative Staff Member position open at the Tübingen AI Center, a vibrant AI research hub at @unituebingen.bsky.social. You’ll support our Central Office in financial and HR administration and help run everyday office operations. 🔗 tuebingen.ai/careers/admi...

Did you know...? 🤔 Health NLP Lab also has a YouTube channel! We are reviving our YouTube channel as a platform for paper presentations and science communication. We hope this will make our research more accessible to a broader audience. 🔗 Subscribe here: www.youtube.com/@health-nlp

Meet Miriam Rateike, and join us in welcoming Health NLP Lab's newest member!

Last week, we had the pleasure of hosting Maik Fröbe @maik-froebe.bsky.social, from Friedrich Schiller University Jena, who was invited to give a guest lecture and a talk to our group about his recent work on evaluation in information retrieval.

#ThrowbackThursday to SIGIR 2024, where Catherine Chen presented two papers of hers. Both presentations were recorded and are available on the ACM YouTube channel (links below) 👇

Last week, Dr. Nils Feldhus @nfel.bsky.social, postdoctoral researcher at @tuberlin.bsky.social and @bifold.berlin, visited our lab and presented his research during our weekly lab meeting.

We are starting off 2026 with exciting news: Our paper "Beyond Multiple Choice: Evaluating Steering Vectors for Adaptive Free-Form Summarization" got accepted at #EACL2026! ✒️ Authors: Joschka Braun, Carsten Eickhoff, and Ali Bahrainian 📃 Paper: arxiv.org/abs/2505.24859

As we wrap up 2025, we’re grateful for a year of great ideas, meaningful discussions, and fruitful collaborations that help advance research and knowledge. Thank you to our collaborators, colleagues, and community; we look forward to continuing our endeavors in 2026. Wishing everyone happy holidays!

We’re excited to share that Dr. Shrestha Ghosh will be presenting her work at the IJCNLP–AACL 2025 (@aaclmeeting.bsky.social) 📍 Mumbai, India 🎤 Paper presentation: 22.12.2025 @ 14:45 🧠 Paper: "Cohort Discovery: A Survey on LLM-Assisted Clinical Trial Recruitment"

👋 Meet Gregory Polyakov: PhD researcher based in Tübingen! Gregory completed his Master’s in Applied Mathematics and Computer Science at MIPT, and after working as an NLP research engineer at Huawei’s Noah’s Ark Lab, he joined the Health NLP Lab to dive deeper into academic ML research.

#ResearchHighlight 🔬 Like many fields, drug discovery has been revolutionized by advances in Machine Learning and Artificial Intelligence, and a key player has been molecular representation — turning molecules into machine-understandable and processable formats.

👋 Meet Florian Rottach — Data Scientist at @boehringerglobal.bsky.social and PhD researcher in our lab! He brings a unique interdisciplinary background and a passion for applying machine learning to life sciences. #MeetTheLab

🗓️Today in San Diego: Dr. Shrestha Ghosh presents “Investigating RAG-based Approaches in Clinical Trial and Patient Matching” at #ML4H. Her work tests how RAG handles clinical-trial matching across varying task complexity, longitudinal evidence, and abstention—showing what truly drives performance.

Amina @amilah-dul.bsky.social presents her latest work on Knowledge Graphs at @wimlworkshop.bsky.social next week. Building on her previous work (arxiv.org/abs/2502.13344), she extends KG-guided reasoning beyond biomedicine to broader knowledge discovery. #ResearchHighligh #LLM #KnowledgeGraph

#NeurIPS2025 is on the horizon! Kicking off with a key position paper: “Benchmarking is Broken: Don’t Let AI Be Its Own Judge.” (arxiv.org/pdf/2510.07575) As AI use explodes, our evaluation methods lag behind. This work calls for a unified, trustworthy framework for judging AI.

#FeatureFriday 🎉 Dr. William Rudman, an outstanding Health NLP Lab alumnus, earned his PhD at Brown and is now a Postdoc at UT Austin’s Center for Scientific ML. His work spans LLM/VLM interpretability and now astronomy. #HealthNLP #AI #LLM #VLM

Meet Dr. Harrisen Scells (@hscells.bsky.social): An Alexander von Humboldt Research Fellow at Leipzig University, who joined our lab earlier this year as an Assistant Professor to expand the boundaries of medical applications in information retrieval. Proud to have him on our team!

#ResearchHighlight How can AI ask smarter questions about our planet—going beyond pixels? Siran Li explored this back in EPFL, leading to an IEEE paper on a knowledge-aware approach to visual question generation for remote sensing. Paper: ieeexplore.ieee.org/abstract/doc...

📸 Snapshots from last week’s EMNLP 2025 — an inspiring week of research, collaboration, and conversations! Proud of our researchers for contributing to such a vibrant and innovative NLP community. #EMNLP2025 #AIResearch #NLProc #HealthNLP #InformationRetrieval #Interpretability

👋 Meet Siran, one of our PhD researchers in Tübingen! After her master’s in Electrical Engineering at EPFL, she joined us to explore new frontiers in AI research. Outside the lab, she enjoys volleyball, skiing in the Alps, and playing piano. #MeetTheLab #PhDLife #AIResearch #GenAI #HealthNLP

Our lab's papers at #EMNLP2025, spanning themes of #Interpretability, #Transparency, #Explainability, #Multilinguality, and #InformationRetrieval.

Big week ahead! Our researchers are heading to #EMNLP2025 with 5 papers, and our grant team will be at @ihieurope.bsky.social Brokerage Event — stay tuned for updates and highlights throughout the week!

We are looking for several postdoctoral researchers to join our Norms & Practices Lab! This is an exciting opportunity for scholars of #philosophy, #law, #culturalanthropology, and (qualitative) #socialscience: uni-tuebingen.de/en/128980#c2... 1/2

Throwback to our conference #MLinScience2025 last week! It was wonderful to see so many of you at the event. The talks and poster session were fantastic - a big thank you to all our speakers and presenters! (Photos: Elia Schmid/University of Tübingen)1/3

#FeatureFriday 🎉 Back in April, Dr. @jackmerullo.bsky.social defended his PhD and became an alumnus of Health NLP Lab. We had a great time working with him and wish him all the best! He’s now a Research Scientist at Goodfire, exploring #AI #interpretability.

We were thrilled to host Prof. Kentaro Inui from MBZUAI at the Health NLP Lab this week! His talk on knowledge representations in LLMs sparked fascinating discussions and new ideas across the group. #NLP #AIResearch #LLMs #KnowledgeRepresentation

#ThrowbackThursday to Prof. Carsten Eickhoff’s CIIR Talk on “Uncertainty in Information Retrieval,” exploring how uncertainty estimation can reveal hidden biases in search engines and improve #fairness. 🎥 www.youtube.com/watch?v=V_eW... #InformationRetrieval #HealthNLP #IR

Last Friday, researchers from the Health NLP Lab and other groups at @unituebingen.bsky.social shared their latest projects and visions on AI and Data in healthcare with the Dean's office of the Medical Faculty. Great energy and inspiring discussions! 💡🤖 #HealthNLP #AIinHealthcare #DigitalHealth

Health NLP Lab here👋We research the intersection of Artificial Intelligence, Natural Language Processing, Information Retrieval, and Large Language Models — with a special focus on their applications in healthcare. Get to know our lab and researchers: health-nlp.com #AI #NLP #IR #LLM #DigitalHealth