Prompt Generated Question

Prompt-generated questions are a rapidly evolving area of research focusing on leveraging large language models (LLMs) to create effective and diverse questions for various applications, including automated essay scoring, knowledge graph construction, and visual question answering. Current research emphasizes improving the quality and efficiency of prompt design through techniques like comparative judgment, visual clue mining, and black-box prompt search, often employing transformer-based architectures. These advancements hold significant potential for automating tasks requiring question generation, enhancing educational tools, and improving the performance of AI systems in knowledge-intensive domains.