collaborators

5 papers

cs.AI2026

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…

cs.AI2026

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…

cs.AI2026

Combinatorial Creativity: A New Frontier in Generalization Abilities

Samuel Schapiro, Sumuk Shashidhar, Alexi Gladstone +4

Artificial intelligence (AI) systems, and Large Language Models (LLMs) in particular, are increasingly employed for creative tasks like scientific idea generation, constituting a f…

cs.AI2025

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…

cs.AI2025

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…