Interactive Natural Language Processing (iNLP) has emerged as a novel paradigm within
the field of NLP, aimed at addressing limitations in existing frameworks while aligning with …

A key feature of embodied education is the participation of the learners' body and mind with
the environment. Yet, little work has been done to review the state of embodied education …

Large-scale generative language and vision-language models (LLMs and VLMs) excel in
few-shot in-context learning for decision making and instruction following. However, they …

Interactive and embodied tasks pose at least two fundamental challenges to existing Vision
& Language (VL) models, including 1) grounding language in trajectories of actions and …

Task planning for embodied AI has been one of the most challenging problems where the
community does not meet a consensus in terms of formulation. In this paper, we aim to tackle …

Recent research on instructable agents has used memory-augmented Large Language
Models (LLMs) as task planners, a technique that retrieves language-program examples …

The potential use of large language models (LLMs) in healthcare robotics can help address
the significant demand put on healthcare systems around the world with respect to an aging …

The Alexa Prize program has empowered numerous university students to explore,
experiment, and showcase their talents in building conversational agents through …

This paper presents a new synthesis-based approach for solving the Learning from
Demonstration (LfD) problem in robotics. Given a set of user demonstrations, the goal of …

In dialogue, the addressee may initially misunderstand the speaker and respond
erroneously, often prompting the speaker to correct the misunderstanding in the next turn …