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Found 11 papers, 1 papers with code
Natural Language Instructions for Intuitive Human Interaction with Robotic Assistants in Field Construction Work
When introducing HRC in construction, it is critical to recognize the importance of teamwork and supervision in field construction and establish a natural and intuitive communication system for the human workers and robotic assistants.
Zero-Shot Compositional Concept Learning
In this paper, we study the problem of recognizing compositional attribute-object concepts within the zero-shot learning (ZSL) framework.
X-ToM: Explaining with Theory-of-Mind for Gaining Justified Human Trust
We present a new explainable AI (XAI) framework aimed at increasing justified human trust and reliance in the AI machine through explanations.
Action Recognition
Explainable Artificial Intelligence (XAI)
+2
Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and Approaches
In the NLP community, recent years have seen a surge of research activities that address machines' ability to perform deep language understanding which goes beyond what is explicitly stated in text, rather relying on reasoning and knowledge of the world.
Natural Language Interaction with Explainable AI Models
This paper presents an explainable AI (XAI) system that provides explanations for its predictions.
Interactive Learning of State Representation through Natural Language Instruction and Explanation
One significant simplification in most previous work on robot learning is the closed-world assumption where the robot is assumed to know ahead of time a complete set of predicates describing the state of the physical world.
Context-based Word Acquisition for Situated Dialogue in a Virtual World
To address these issues, we developed new approaches that incorporate user language behavior, domain knowledge, and conversation context in word acquisition.
