In-Context Semi-Supervised Learning

This article likely discusses a novel approach to semi-supervised learning within the context of large language models (LLMs). The use of 'in-context' suggests leveraging the ability of LLMs to learn from a few examples provided in the input prompt. The semi-supervised aspect implies the use of both labeled and unlabeled data to improve model performance. The source, ArXiv, indicates this is a research paper.