5 papers · 1 filter
CreativityNeuro: Steering Language Model Weights to Improve Divergent Thinking and Reduce Mode Collapse
Samuel Schapiro, Core Francisco Park, Felix Sosa +1
Divergent thinking is a crucial aspect of creativity, yet large language models (LLMs) tend to consistently generate similar responses to open-ended questions, in what has been ter…
Assessing the Creativity of Large Language Models: Testing, Limits, and New Frontiers
Samuel Schapiro, Alexi Gladstone, Jonah Black +1
Measuring the creativity of large language models (LLMs) is essential for designing methods that can improve creativity and for enhancing our scientific understanding of this abili…
Measuring Combinatorial Creativity in Large Language Models and Humans
Samuel Schapiro, Sumuk Shashidhar, Akshay K. Jagadish +11
Combinatorial creativity, the process of combining familiar ideas in unfamiliar ways, is one of the foremost engines of scientific, technological, and artistic progress. This work…
Spark: A System for Scientifically Creative Idea Generation
Aishik Sanyal, Samuel Schapiro, Sumuk Shashidhar +3
Recently, large language models (LLMs) have shown promising abilities to generate novel research ideas in science, a direction which coincides with many foundational principles in…
Transformational Creativity in Science: A Graphical Theory
Samuel Schapiro, Jonah Black, Lav R. Varshney
Creative processes are typically divided into three types: combinatorial, exploratory, and transformational. Here, we provide a graphical theory of transformational scientific crea…