A Modular Framework for Robust Questionnaire Inference with LLMs - dess-mannheim/QSTN

Personalization changes what a model says to a user; we show that it can also change the reasoning trajectory used to justify the response. Modern LLMs personalize interactions by storing user attribu...

Many in-silico simulations of human survey responses with large language models (LLMs) focus on generating closed-ended survey responses, whereas LLMs are typically trained to generate open-ended text...

Indira Sen, Marlene Lutz, Elisa Rogers, David Garcia, Markus Strohmaier. Findings of the Association for Computational Linguistics: ACL 2025. 2025.

This playlist contains all keynotes from IC2S2'25 in Norrköping, Sweden.

Call for applications 2025! 📢 We are glad to announce our call for applications to join the 8th edition of DataFest Germany, which will take place at the Ludwig-Maximilians-Universität in Munich (Marc...

This paper proposes temporally aligned Large Language Models (LLMs) as a tool for longitudinal analysis of social media data. We fine-tune Temporal Adapters for Llama 3 8B on full timelines from a pan...