26 citations · 26 across the 4 of their papers we have counts for
5 papers
A Toolbox for Improving Evolutionary Prompt Search
Daniel Grießhaber, Maximilian Kimmich, Johannes Maucher +1
Evolutionary prompt optimization has demonstrated effectiveness in refining prompts for LLMs. However, existing approaches lack robust operators and efficient evaluation mechanisms…
Anonymization of Documents for Law Enforcement with Machine Learning
Manuel Eberhardinger, Patrick Takenaka, Daniel Grießhaber +1
The steadily increasing utilization of data-driven methods and approaches in areas that handle sensitive personal information such as in law enforcement mandates an ever increasing…
Classification of Inkjet Printers based on Droplet Statistics
Patrick Takenaka, Manuel Eberhardinger, Daniel Grießhaber +1
Knowing the printer model used to print a given document may provide a crucial lead towards identifying counterfeits or conversely verifying the validity of a real document. Inkjet…
Fine-tuning BERT for Low-Resource Natural Language Understanding via Active Learning
Daniel Grießhaber, Johannes Maucher, Ngoc Thang Vu
Recently, leveraging pre-trained Transformer based language models in down stream, task specific models has advanced state of the art results in natural language understanding task…
Low-Resource Text Classification using Domain-Adversarial Learning
Daniel Grießhaber, Ngoc Thang Vu, Johannes Maucher
Deep learning techniques have recently shown to be successful in many natural language processing tasks forming state-of-the-art systems. They require, however, a large amount of a…