2 citations · 2 across the 2 of their papers we have counts for
3 papers
Selecting The Most Informative Tokens in Natural Language Autoencoders
Federico Torrielli, Gianluca Barmina, Andrea Blasi Núñez +4
Natural language autoencoders translate a language model's internal activations into readable explanations. Explaining every token position is costly. Which positions should an aud…
Constructing Everyday Well-Being: Insights from God-Saeng for Personal Informatics
Inhwa Song, Kwangyoung Lee, Janghee Cho +2
While Personal Informatics (PI) systems support behavior change, everyday well-being involves more than achieving individual target behaviors. It is shaped by cultural narratives t…
When Workout Buddies Are Virtual: AI Agents and Human Peers in a Longitudinal Physical Activity Study
Alessandro Silacci, Mauro Cherubini, Arianna Boldi +2
Physical inactivity remains a critical global health issue, yet scalable strategies for sustained motivation are scarce. Conversational agents designed as simulated exercising peer…