235 citations · 282 across the 4 of their papers we have counts for
4 papers
Modular Prompt Optimization: Optimizing Structured Prompts with Section-Local Textual Gradients
Prith Sharma, Austin Z. Henley
Prompt quality plays a central role in controlling the behavior, reliability, and reasoning performance of large language models (LLMs), particularly for smaller open-source instru…
Exploring the Design Space of Cognitive Engagement Techniques with AI-Generated Code for Enhanced Learning
Majeed Kazemitabaar, Oliver Huang, Sangho Suh +2
Novice programmers are increasingly relying on Large Language Models (LLMs) to generate code for learning programming concepts. However, this interaction can lead to superficial en…
Improving Steering and Verification in AI-Assisted Data Analysis with Interactive Task Decomposition
Majeed Kazemitabaar, Jack Williams, Ian Drosos +4
LLM-powered tools like ChatGPT Data Analysis, have the potential to help users tackle the challenging task of data analysis programming, which requires expertise in data processing…
CodeAid: Evaluating a Classroom Deployment of an LLM-based Programming Assistant that Balances Student and Educator Needs
Majeed Kazemitabaar, Runlong Ye, Xiaoning Wang +4
Timely, personalized feedback is essential for students learning programming. LLM-powered tools like ChatGPT offer instant support, but reveal direct answers with code, which may h…