3 papers
cs.HC2025
MAP: Multi-user Personalization with Collaborative LLM-powered Agents
Christine Lee, Jihye Choi, Bilge Mutlu
The widespread adoption of Large Language Models (LLMs) and LLM-powered agents in multi-user settings underscores the need for reliable, usable methods to accommodate diverse prefe…
cs.HC2025
LearnMate: Enhancing Online Education with LLM-Powered Personalized Learning Plans and Support
Xinyu Jessica Wang, Christine Lee, Bilge Mutlu
With the increasing prevalence of online learning, adapting education to diverse learner needs remains a persistent challenge. Recent advancements in artificial intelligence (AI),…
cs.HC2025
VeriPlan: Integrating Formal Verification and LLMs into End-User Planning
Christine Lee, David Porfirio, Xinyu Jessica Wang +2
Automated planning is traditionally the domain of experts, utilized in fields like manufacturing and healthcare with the aid of expert planning tools. Recent advancements in LLMs h…