4 citations · 9 across the 4 of their papers we have counts for
4 papers
Can Continual Pre-training Bridge the Performance Gap between General-purpose and Specialized Language Models in the Medical Domain?
Niclas Doll, Jasper Schulze Buschhoff, Shalaka Satheesh +3
This paper narrows the performance gap between small, specialized models and significantly larger general-purpose models through domain adaptation via continual pre-training and me…
Towards Multilingual LLM Evaluation for European Languages
Klaudia Thellmann, Bernhard Stadler, Michael Fromm +8
The rise of Large Language Models (LLMs) has revolutionized natural language processing across numerous languages and tasks. However, evaluating LLM performance in a consistent and…
Teuken-7B-Base & Teuken-7B-Instruct: Towards European LLMs
Mehdi Ali, Michael Fromm, Klaudia Thellmann +38
We present two multilingual LLMs, Teuken 7B-base and Teuken 7B-instruct, designed to embrace Europe's linguistic diversity by supporting all 24 official languages of the European U…
Tokenizer Choice For LLM Training: Negligible or Crucial?
Mehdi Ali, Michael Fromm, Klaudia Thellmann +18
The recent success of Large Language Models (LLMs) has been predominantly driven by curating the training dataset composition, scaling of model architectures and dataset sizes and…