Benjamin Schindler

Geometric Filtering of LLM-Generated Samples for Few-Shot Text Classification

Large language models (LLMs) can generate synthetic training data for text classification, but the quality of generated samples is heterogeneous: some fall in correct class regions of the embedding space while others land in peripheral or cross-class zones. We propose a geometric filtering framework that evaluates each...