15 citations · 15 across the 5 of their papers we have counts for
3 papers · 1 filter
Lightweight but Linguistically Fair? Quantisation Robustness across Bavarian, German, and English
Jophin John, Michael Hoffmann, Piroska Lendvai +1
Post-training quantisation reduces the memory cost of large language models, but it remains unclear whether compression preserves language skills of regional varieties as reliably…
BavGround: A Benchmark for Regional Cultural Grounding and Dialect Competence in Bavarian
Jophin John, Michael Hoffmann, Jan Fillies +2
Cultural evaluation of large language models (LLMs) often focuses on high-resource standard languages, leaving regional culture and dialect communities underrepresented. We introdu…
Llama-GENBA-10B: A Trilingual Large Language Model for German, English and Bavarian
Michael Hoffmann, Jophin John, Stefan Schweter +5
We present Llama-GENBA-10B, a trilingual foundation model addressing English-centric bias in large language models. Built on Llama 3.1-8B and scaled to 10B parameters, Llama-GENBA-…