Papers by Moritz Schlager

Copied to clipboard

Challenge:	Existing implementations of prompt optimization are tied to unmaintained, isolated codebases or require invasive integration into application frameworks.
Approach:	They propose a unified, modular open-source framework that integrates multiple contemporary discrete prompt optimizers within a single extensible system for both practitioners and researchers.
Outcome:	The proposed framework integrates multiple discrete prompt optimizers, supports systematic and reproducible benchmarking, and returns framework-agnostic prompt strings, enabling seamless integration into existing LLM pipelines while remaining agnosite to the underlying model implementation.