Excited for 5 papers at #ACL2026NLP with my group and with collaborators. 📍 You can find the work here: 🗓️ Sun. July 5 AfriqueLLM: How Data Mixing and Model Architecture Impact Continued Pre-training for African Languages Oral Session B: Multilinguality and Language Diversity 2

Unifying interpretability perspectives in one approach. Congratulations to @florian-eichin.com for his ICML paper!

MCML just started again a call for their very competitive but also really nice, fully funded PhD positions. These positions are matched to research groups at both TUM and LMU, including my group and the other great ML and NLP groups here in Munich 😄

Excited to share that our survey paper "Charting the Landscape of African NLP: Mapping Progress and Shaping the Road Ahead" lead by Jesujoba Alabi has been accepted at #EMNLP2025! Here’s a short 🧵 about the paper.

Headed to ACL? MaiNLP & our most recent work will be there too👥📄 Come see what we’ve been working on!

Looking forward to my visit to Hamburg University and their Data Science group!

What changes if you take the LLM prompt “Tell me a short story about Dr. Li” and replace “Dr. Li” with “Dr. Smith”? Would you have guessed that this introduces a massive gender bias, from ca. half/half to 99% male doctors? 

In our #ACL2025 paper we present the Spotlight framework which...

Interpretability meets Discourse. Congratulations to @florian-eichin.com to his first ACL paper 🎉

Want to know if your prompting is also affected by this? Addressing this and other issues systematically, we proposed Spotlight, which utilizes data mining to uncover the effects of prompt- and model-changes (meet us at ACL to discuss) arxiv.org/abs/2504.15815

Are you attending NAACL 2025 and are you interested in low-resource languages and dialects? Then don't miss our very own @verenablaschke.bsky.social's keynote talk at the WNUT 2025 workshop on May 3rd: Beyond “noisy” text: How (and why) to process dialect data 🌐 ☀️ noisy-text.github.io/2025/

Happy to be part of that team for almost 1/3 of that time 😀