13 citations · 17 across the 2 of their papers we have counts for
2 papers
cs.AI2023★ 4 cited
Extracting Self-Consistent Causal Insights from Users Feedback with LLMs and In-context Learning
Sara Abdali, Anjali Parikh, Steve Lim +1
Microsoft Windows Feedback Hub is designed to receive customer feedback on a wide variety of subjects including critical topics such as power and battery. Feedback is one of the mo…
cs.LG2020★ 13 cited
DRIFT: Deep Reinforcement Learning for Functional Software Testing
Luke Harries, Rebekah Storan Clarke, Timothy Chapman +10
Efficient software testing is essential for productive software development and reliable user experiences. As human testing is inefficient and expensive, automated software testing…