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cs.CL2025
When Guessing is Rewarded: Rethinking Language Model Evaluation with Distributional Uncertainty Scoring
Thomas F Burns
Standard language model evaluation assigns scores to single predicted answers, rewarding high-confidence responses regardless of how residual probability mass is distributed over a…
cs.CL2025
Aleph-Alpha-GermanWeb: Improving German-language LLM pre-training with model-based data curation and synthetic data generation
Thomas F Burns, Letitia Parcalabescu, Stephan Wäldchen +5
Scaling data quantity is essential for large language models (LLMs), yet recent findings show that data quality can significantly boost performance and training efficiency. We intr…