1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2026
The Silent Hyperparameter: Quantifying the Impact of Inference Backends on LLM Reproducibility
David Pape, Jonathan Evertz, Lea Schönherr
Progress in LLMs is increasingly measured through standardized benchmarks, where state-of-the-art improvements are often separated by fractions of a percentage point. At the same t…
cs.CR2024★ 1 cited
Prompt Obfuscation for Large Language Models
David Pape, Sina Mavali, Thorsten Eisenhofer +1
System prompts that include detailed instructions to describe the task performed by the underlying LLM can easily transform foundation models into tools and services with minimal o…