Human Generated Idea

Human-generated ideas are being investigated using computational methods to analyze, evaluate, and even generate novel concepts. Current research focuses on leveraging large language models (LLMs) and other deep learning architectures to represent and quantify the value of ideas, often through vector embeddings and similarity measures. This work aims to improve the efficiency and objectivity of idea generation and assessment across diverse fields, from scientific research to product design, ultimately impacting innovation and knowledge creation.