This morning at #ic2s2 I have the chance to present ongoing work on applying a SEM from survey methods to LLM text annotations: 👉 Evaluating LLM Text Annotations Without Ground Truth 📍10:45, Mansfield (210), Understanding LLMs w/ @maximiliankreutner.bsky.social Alex Cernat & @mstrohm.bsky.social
Maximilian Kreutner
@maximiliankreutner.bsky.social
PhD candidate at University of Mannheim | LLMs and synthetic data Website: https://maxbenkre.github.io/
Excited to present a tutorial on simulating survey responses with LLMs at @ic2s2.bsky.social next week! ✨ 👉 central themes: analytic flexibility & hybrid samples with @gligoric.bsky.social, @indiiigo.bsky.social, @maximiliankreutner.bsky.social, @jrupprec.bsky.social, and @mstrohm.bsky.social – 🧵
Thrilled to share that our paper with @carohaensch.bsky.social, @barbaraplank.bsky.social & @mstrohm.bsky.social has been accepted to #ACL2026 Main! How to generate closed-ended survey responses 📊 with LLMs trained to produce open-ended text? 📝 We show results from 32 mio. simulated responses… 🧵
We are delighted to welcome @marlutz.bsky.social to our lab over the next few months! 🎉 She'll work on the representation of different demographic groups in LLMs. #NLProc
🚨 Upcoming #CS3Meeting 🚨 @wanlo.bsky.social talks about analytic flexibility in silicon samples on October 29, 3:15 to 4:00 PM CET). Great opportunity to gain novel insights into how survey responses can be generated with #LLMs. Sign up now: ww3.unipark.de/uc/cs3_meeti...
LLMs can understand political discourse, but can they actually predict votes of real politicians? Excited to share my work at #IC2S2 this week! I will present my poster on Tuesday between 1:30 and 3:30 p.m.