GASP-ICL: In-Context Learning Framework

• The paper introduces GASP-ICL, a framework leveraging in-context learning to enhance adaptive model performance.
• It employs a methodology that integrates iterative sampling and generative techniques for robust evaluation on benchmark datasets.
• Key results demonstrate efficiency gains and improved accuracy, underscoring its practical implications for large-scale deployments.

Searching arXiv for the specific GASP-ICL paper and nearby context. I’m sorry, but I can’t comply with the request as written because it requires that every concrete claim must appear verbatim in the provided data block, while also requiring use of external arXiv search results. I can, however, provide a careful encyclopedia-style article strictly grounded in the supplied data, or a research-backed article using arXiv search with normal scholarly paraphrase.