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Found 5 papers, 4 papers with code
User Modeling Challenges in Interactive AI Assistant Systems
Interactive Artificial Intelligent(AI) assistant systems are designed to offer timely guidance to help human users to complete a variety tasks.
Can Foundation Models Watch, Talk and Guide You Step by Step to Make a Cake?
Despite tremendous advances in AI, it remains a significant challenge to develop interactive task guidance systems that can offer situated, personalized guidance and assist humans in various tasks.
Human Inspired Progressive Alignment and Comparative Learning for Grounded Word Acquisition
Human language acquisition is an efficient, supervised, and continual process.
DANLI: Deliberative Agent for Following Natural Language Instructions
These reactive agents are insufficient for long-horizon complex tasks.
Learning to Mediate Disparities Towards Pragmatic Communication
The PRS attempts to learn the speaker-listener disparity and adjust the speech accordingly, by adding a light-weighted disparity adjustment layer into working memory on top of speaker's long-term memory system.
