15 citations · 15 across the 5 of their papers we have counts for
6 papers
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…
Designing and Evaluating Malinowski's Lens: An AI-Native Educational Game for Ethnographic Learning
Michael Hoffmann, Jophin John, Jan Fillies +1
This study introduces 'Malinowski's Lens', the first AI-native educational game for anthropology that transforms Bronislaw Malinowski's 'Argonauts of the Western Pacific' (1922) in…
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-…
Exploring the Use of WebAssembly in HPC
Mohak Chadha, Nils Krueger, Jophin John +3
Containerization approaches based on namespaces offered by the Linux kernel have seen an increasing popularity in the HPC community both as a means to isolate applications and as a…
Toward an End-to-End Auto-tuning Framework in HPC PowerStack
Xingfu Wu, Aniruddha Marathe, Siddhartha Jana +7
Efficiently utilizing procured power and optimizing performance of scientific applications under power and energy constraints are challenging. The HPC PowerStack defines a software…