In-Context Multi-Operator Learning with DeepOSets

This article likely presents a novel approach to in-context learning, potentially focusing on improving the performance of large language models (LLMs) by enabling them to learn and utilize multiple operators within a given context. The use of "DeepOSets" suggests a deep learning-based method for representing and manipulating these operators. The research likely explores the efficiency and effectiveness of this approach compared to existing methods.