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Social Bias or Social Desirability? Comparing Factorial Survey Experiments for Humans and Large Language Models
Franziska Weeber, Thomas Hinz, Konstantin Mozer +3
Factorial survey experiments are a survey method from the social sciences that uses descriptions of socially complex situation (``vignettes'') to elicit judgments such as social bi…
news-crawler-LM: A Small Long-Context Model For High-Quality News Crawling
Pascal Stolzenburg, Jonas Golde, Max Dallabetta +1
Extracting structured content from news pages remains challenging due to heterogeneous HTML layouts, inconsistent markup, and substantial boilerplate such as navigation elements an…
Repetition over Diversity: High-Signal Data Filtering for Sample-Efficient German Language Modeling
Ansar Aynetdinov, Patrick Haller, Alan Akbik
Recent research has shown that filtering massive English web corpora into high-quality subsets significantly improves training efficiency. However, for high-resource non-English la…
Beyond Marginal Distributions: A Framework to Evaluate the Representativeness of Demographic-Aligned LLMs
Tristan Williams, Franziska Weeber, Sebastian Padó +1
Large language models are increasingly used to represent human opinions, values, or beliefs, and their steerability towards these ideals is an active area of research. Existing wor…
What Matters When Building Universal Multilingual Named Entity Recognition Models?
Jonas Golde, Patrick Haller, Alan Akbik
Recent progress in universal multilingual named entity recognition (NER) has been driven by multilingual transformer models, task-specific architectures, custom loss functions, and…