9 citations · 9 across the 3 of their papers we have counts for
3 papers
Bench360: Benchmarking Local LLM Inference from 360 Degrees
Linus Stuhlmann, Mauricio Fadel Argerich, Jonathan Fürst
Running LLMs locally has become increasingly common, but users face a complex design space across models, quantization levels, inference engines, and serving scenarios. Existing in…
Evaluating the Effectiveness of Transformer Layers in Wav2Vec 2.0, XLS-R, and Whisper for Speaker Identification Tasks
Linus Stuhlmann, Michael Alexander Saxer
This study evaluates the performance of three advanced speech encoder models, Wav2Vec 2.0, XLS-R, and Whisper, in speaker identification tasks. By fine-tuning these models and anal…
Efficient and Reproducible Biomedical Question Answering using Retrieval Augmented Generation
Linus Stuhlmann, Michael Alexander Saxer, Jonathan Fürst
Biomedical question-answering (QA) systems require effective retrieval and generation components to ensure accuracy, efficiency, and scalability. This study systematically examines…