3 papers
cs.AI2026
The Long-Horizon Task Mirage? Diagnosing Where and Why Agentic Systems Break
Xinyu Jessica Wang, Haoyue Bai, Yiyou Sun +7
Large language model (LLM) agents perform strongly on short- and mid-horizon tasks, but often break down on long-horizon tasks that require extended, interdependent action sequence…
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),…