Task Formulation

Task formulation, the process of defining how a problem is presented to a machine learning model, significantly impacts model performance and generalizability. Current research emphasizes standardized evaluation procedures (like OLMES) to ensure reproducibility and focuses on optimizing task formulations for various domains, including natural language processing, computer vision, and healthcare, often employing large language models and graph neural networks. This work is crucial for advancing the reliability and applicability of machine learning across diverse fields, improving the accuracy and efficiency of AI systems in real-world applications.