46 citations · 46 across the 4 of their papers we have counts for
6 papers
Mutation Without Variation: Convergence Dynamics in LLM-Driven Program Evolution
Can Gurkan, Forrest Stonedahl, Uri Wilensky
When an LLM repeatedly mutates a program, does it explore new forms or circle back to the same ones? We study this question by analyzing LLM-driven mutation chains in the absence o…
Processes Matter: How ML/GAI Approaches Could Support Open Qualitative Coding of Online Discourse Datasets
John Chen, Alexandros Lotsos, Grace Wang +4
Open coding, a key inductive step in qualitative research, discovers and constructs concepts from human datasets. However, capturing extensive and nuanced aspects or "coding moment…
Prompts Matter: Comparing ML/GAI Approaches for Generating Inductive Qualitative Coding Results
John Chen, Alexandros Lotsos, Lexie Zhao +4
Inductive qualitative methods have been a mainstay of education research for decades, yet it takes much time and effort to conduct rigorously. Recent advances in artificial intelli…
A Computational Method for Measuring "Open Codes" in Qualitative Analysis
John Chen, Alexandros Lotsos, Sihan Cheng +7
Qualitative analysis is critical to understanding human datasets in many social science disciplines. A central method in this process is inductive coding, where researchers identif…
A Network Simulation of OTC Markets with Multiple Agents
James T. Wilkinson, Jacob Kelter, John Chen +1
We present a novel agent-based approach to simulating an over-the-counter (OTC) financial market in which trades are intermediated solely by market makers and agent visibility is c…
Learning Agent-based Modeling with LLM Companions: Experiences of Novices and Experts Using ChatGPT & NetLogo Chat
John Chen, Xi Lu, Michael Rejtig +4
Large Language Models (LLMs) have the potential to fundamentally change the way people engage in computer programming. Agent-based modeling (ABM) has become ubiquitous in natural a…