3 papers
cs.CL2025
FIN-bench-v2: A Unified and Robust Benchmark Suite for Evaluating Finnish Large Language Models
Joona Kytöniemi, Jousia Piha, Akseli Reunamo +3
We introduce FIN-bench-v2, a unified benchmark suite for evaluating large language models in Finnish. FIN-bench-v2 consolidates Finnish versions of widely used benchmarks together…
cs.CL2025
Pretraining Finnish ModernBERTs
Akseli Reunamo, Laura-Maria Peltonen, Hans Moen +1
This paper reports on pretraining ModernBERT encoder models in six different sizes, ranging from 51M to 475M parameters, with a focus on limited multilingualism, emphasizing langua…
cs.CL2025
HPLT 3.0: Very Large-Scale Multilingual Resources for LLMs and MT. Mono- and Bi-lingual Data, Multilingual Evaluation, and Pre-Trained Models
Stephan Oepen, Nikolay Arefev, Mikko Aulamo +29
We present an ongoing initiative to provide open, very large, high-quality, and richly annotated textual datasets for almost 200 languages. At 30 trillion tokens, this is likely th…