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cs.CL2025
Survey-to-Behavior: Downstream Alignment of Human Values in LLMs via Survey Questions
Shangrui Nie, Florian Mai, David Kaczér +3
Large language models implicitly encode preferences over human values, yet steering them often requires large training data. In this work, we investigate a simple approach: Can we…
cs.CL2025
Judging Quality Across Languages: A Multilingual Approach to Pretraining Data Filtering with Language Models
Mehdi Ali, Manuel Brack, Max Lübbering +15
High-quality multilingual training data is essential for effectively pretraining large language models (LLMs). Yet, the availability of suitable open-source multilingual datasets r…