Difficulty Score

Difficulty scoring aims to automatically assess the complexity of tasks or data, such as text comprehension questions, image generation prompts, or job scheduling problems. Current research focuses on developing robust metrics beyond traditional methods, leveraging large language models and other machine learning techniques like multi-task learning and curriculum learning to improve accuracy and scalability. These advancements are crucial for optimizing educational resources, enhancing AI model development, and improving the efficiency of various problem-solving tasks. The ultimate goal is to create reliable and adaptable difficulty scores that can be used to personalize learning experiences and improve the performance of AI systems.