3 papers
cs.HC2026
Structuring Human-AI Productive Interdependence by Strategic Level of Automation Selection for Qualitative Inquiry
Feng Zhou, Jacqueline Meijer-Irons, Ambar Murillo
While Large Language Models (LLMs) offer a solution to the scale-versus-depth dilemma in qualitative analysis, the paradigm of maximizing automation is fundamentally at odds with t…
cs.SE2025
Understanding and supporting how developers prompt for LLM-powered code editing in practice
Daye Nam, Ahmed Omran, Ambar Murillo +6
Large Language Models (LLMs) are rapidly transforming software engineering, with coding assistants embedded in an IDE becoming increasingly prevalent. While research has focused on…
cs.SE2025
Creating benchmarkable components to measure the quality ofAI-enhanced developer tools
Elise Paradis, Ambar Murillo, Maulishree Pandey +4
In the AI community, benchmarks to evaluate model quality are well established, but an equivalent approach to benchmarking products built upon generative AI models is still missing…