Benchmarking zero-shot text classification for Dutch

The advent and popularisation of Large Language Models (LLMs) have given rise to promptbased Natural Language Processing (NLP) techniques which eliminate the need for large manually annotated corpora and computationally expensive supervised training or fine-tuning processes. Zero-shot learning in particular presents itself as an attractive alternative to the classical train-development-test paradigm for many downstream tasks as it provides a quick and inexpensive way of directly leveraging the implicitly encoded knowledge in LLMs. Despite the large interest in zero-shot applications within the... Mehr ...