4 citations · 9 across the 7 of their papers we have counts for
6 papers · 1 filter
Quantifying the Impact of Translation Errors on Multilingual LLM Evaluation
Klaudia-Doris Thellmann, Bernhard Stadler, Michael Färber +1
Machine-translated benchmarks are widely used to assess the multilingual capabilities of large language models (LLMs), yet translation errors in these benchmarks remain underexplor…
Diagnosing Translated Benchmarks: An Automated Quality Assurance Study of the EU20 Benchmark Suite
Klaudia Thellmann, Bernhard Stadler, Michael Färber
Machine-translated benchmark datasets reduce costs and offer scale, but noise, loss of structure, and uneven quality weaken confidence. What matters is not merely whether we can tr…
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…
Investigating Multilingual Instruction-Tuning: Do Polyglot Models Demand for Multilingual Instructions?
Alexander Arno Weber, Klaudia Thellmann, Jan Ebert +4
The adaption of multilingual pre-trained LLMs into eloquent and helpful assistants is essential to facilitate their use across different language regions. In that spirit, we are th…
Transformer with Tree-order Encoding for Neural Program Generation
Klaudia-Doris Thellmann, Bernhard Stadler, Ricardo Usbeck +1
While a considerable amount of semantic parsing approaches have employed RNN architectures for code generation tasks, there have been only few attempts to investigate the applicabi…