5 papers
MASCOT: Towards Multi-Agent Socio-Collaborative Companion Systems
Yiyang Wang, Yiqiao Jin, Alex Cabral +1
Multi-agent systems (MAS) are emerging as promising socio-collaborative companions for emotional and cognitive support. However, existing systems frequently suffer from persona col…
CultivAgents: Cultivating Relationship-Centered Multi-Agent Systems for Personalized Gardening
Yiyang Wang, Moeiini Reilly, Britney Johnson +3
Gardening is critical to support well-being, cultural continuity, and food autonomy, yet existing digital tools often provide generic advice that overlooks gardeners' skills, local…
UniSD: Towards a Unified Self-Distillation Framework for Large Language Models
Yiqiao Jin, Yiyang Wang, Lucheng Fu +7
Self-distillation (SD) offers a promising path for adapting large language models (LLMs) without relying on stronger external teachers. However, SD in autoregressive LLMs remains c…
TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization
Lucheng Fu, Ye Yu, Yiyang Wang +4
Large language models (LLMs) are highly sensitive to the prompts used to specify task objectives and behavioral constraints. Many recent prompt optimization methods iteratively rew…
CompanionCast: Toward Social Collaboration with Multi-Agent Systems in Shared Experiences
Yiyang Wang, Chen Chen, Tica Lin +4
Shared experiences are fundamental to social connection, yet media consumption is increasingly solitary. While AI companions offer real-time reactions and emotional regulation, exi…