Work

promptolution: A Unified, Modular Framework for Prompt Optimization

Year: 2026

Type: conference-paper

Abstract: Tom Zehle, Timo Heiß, Moritz Schlager, Matthias Aßenmacher, Matthias Feurer. Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 3: System Demonstrations). 2026.

Source: Conference of the European Chapter of the Association for Computational Linguistics

DOI: 10.18653/v1/2026.eacl-demo.21

Authors: Tom Zehle, Timo Heiß, Moritz Schlager, Matthias Aßenmacher, Matthias Feurer

Institutions: Munich Center for Machine Learning, Ludwig-Maximilians-Universität München, TU Dortmund University, Lamarr Institute for Machine Learning and Artificial Intelligence

Language: English

Topic: Topic Modeling

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funders: European Commission, Deutsche Forschungsgemeinschaft, HORIZON EUROPE Framework Programme

Awards: BERD@NFDI NFDI für Wirtschaftsdaten und Verwandtes, European Large Open Multi-Modal Foundation Models For Robust Generalization On Arbitrary Data Streams

OpenAlex ID: W7140120597

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