1 citations · 1 across the 4 of their papers we have counts for
4 papers
An Analysis of Automated Use Case Component Extraction from Scenarios using ChatGPT
Pragyan KC, Rocky Slavin, Sepideh Ghanavati +2
Mobile applications (apps) are often developed by only a small number of developers with limited resources, especially in the early years of the app's development. In this setting,…
Language models are robotic planners: reframing plans as goal refinement graphs
Ateeq Sharfuddin, Travis Breaux
Successful application of large language models (LLMs) to robotic planning and execution may pave the way to automate numerous real-world tasks. Promising recent research has been…
Toward Regulatory Compliance: A few-shot Learning Approach to Extract Processing Activities
Pragyan KC, Rambod Ghandiparsi, Rocky Slavin +3
The widespread use of mobile applications has driven the growth of the industry, with companies relying heavily on user data for services like targeted advertising and personalized…
Requirements Satisfiability with In-Context Learning
Sarah Santos, Travis Breaux, Thomas Norton +2
Language models that can learn a task at inference time, called in-context learning (ICL), show increasing promise in natural language inference tasks. In ICL, a model user constru…