26 citations · 26 across the 4 of their papers we have counts for
3 papers · 1 filter
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…
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…