3 papers
cs.HC2025
Design Opportunities for Explainable AI Paraphrasing Tools: A User Study with Non-native English Speakers
Yewon Kim, Thanh-Long V. Le, Donghwi Kim +2
We investigate how non-native English speakers (NNESs) interact with diverse information aids to assess and select AI-generated paraphrases. We develop ParaScope, an AI paraphrasin…
cs.LG2024
(FL): Overcoming Few Labels in Federated Semi-Supervised Learning
Seungjoo Lee, Thanh-Long V. Le, Jaemin Shin +1
Federated Learning (FL) is a distributed machine learning framework that trains accurate global models while preserving clients' privacy-sensitive data. However, most FL approaches…
cs.HC2024
Recover as It is Designed to Be: Recovering from Compatibility Mobile App Crashes by Reusing User Flows
Donghwi Kim, Hyungjun Yoon, Chang Min Park +4
Android OS is severely fragmented by API updates and device vendors' OS customization, creating a market condition where vastly different OS versions coexist. This gives rise to co…