11 citations · 26 across the 5 of their papers we have counts for
8 papers
Asterism: Exploring and Synthesizing Scattered Observations into Literature-Grounded Hypotheses and Theories
Joseph Chee Chang, Michael D'Arcy, Amy X. Zhang +15
A theory draws many independent observations into one framework with novel hypotheses. A researcher building such a theory must synthesize observations scattered across many papers…
Mapping the Design Space of Interactions in Human-AI Text Co-creation Tasks
Zijian Ding, Joel Chan
Large Language Models (LLMs) have demonstrated impressive text generation capabilities, prompting us to reconsider the future of human-AI co-creation and how humans interact with L…
Fluid Transformers and Creative Analogies: Exploring Large Language Models' Capacity for Augmenting Cross-Domain Analogical Creativity
Zijian Ding, Arvind Srinivasan, Stephen MacNeil +1
Cross-domain analogical reasoning is a core creative ability that can be challenging for humans. Recent work has shown some proofs-of concept of Large language Models' (LLMs) abili…
Augmenting Scientific Creativity with an Analogical Search Engine
Hyeonsu B. Kang, Xin Qian, Tom Hope +3
Analogies have been central to creative problem-solving throughout the history of science and technology. As the number of scientific papers continues to increase exponentially, th…
Scaling Creative Inspiration with Fine-Grained Functional Aspects of Ideas
Tom Hope, Ronen Tamari, Hyeonsu Kang +4
Large repositories of products, patents and scientific papers offer an opportunity for building systems that scour millions of ideas and help users discover inspirations. However,…
ML-based Visualization Recommendation: Learning to Recommend Visualizations from Data
Xin Qian, Ryan A. Rossi, Fan Du +5
Visualization recommendation seeks to generate, score, and recommend to users useful visualizations automatically, and are fundamentally important for exploring and gaining insight…