10 citations · 49 across the 9 of their papers we have counts for
6 papers · 1 filter
Harnessing the Power of LLMs: Evaluating Human-AI Text Co-Creation through the Lens of News Headline Generation
Zijian Ding, Alison Smith-Renner, Wenjuan Zhang +2
To explore how humans can best leverage LLMs for writing and how interacting with these models affects feelings of ownership and trust in the writing process, we compared common hu…
Elucidating STEM Concepts through Generative AI: A Multi-modal Exploration of Analogical Reasoning
Chen Cao, Zijian Ding, Gyeong-Geon Lee +3
This study explores the integration of generative artificial intelligence (AI), specifically large language models, with multi-modal analogical reasoning as an innovative approach…
AI Chatbots as Multi-Role Pedagogical Agents: Transforming Engagement in CS Education
Cassie Chen Cao, Zijian Ding, Jionghao Lin +1
This study investigates the use of Artificial Intelligence (AI)-powered, multi-role chatbots as a means to enhance learning experiences and foster engagement in computer science ed…
Freeform Templates: Combining Freeform Curation with Structured Templates
Stephen MacNeil, Ziheng Huang, Kenneth Chen +4
Online whiteboards are becoming a popular way to facilitate collaborative design work, providing a free-form environment to curate ideas. However, as templates are increasingly bei…
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…