113 citations · 308 across the 23 of their papers we have counts for
6 papers · 1 filter
MindCraft: Theory of Mind Modeling for Situated Dialogue in Collaborative Tasks
Cristian-Paul Bara, Sky CH-Wang, Joyce Chai
An ideal integration of autonomous agents in a human world implies that they are able to collaborate on human terms. In particular, theory of mind plays an important role in mainta…
Beyond the Tip of the Iceberg: Assessing Coherence of Text Classifiers
Shane Storks, Joyce Chai
As large-scale, pre-trained language models achieve human-level and superhuman accuracy on existing language understanding tasks, statistical bias in benchmark data and probing stu…
Tiered Reasoning for Intuitive Physics: Toward Verifiable Commonsense Language Understanding
Shane Storks, Qiaozi Gao, Yichi Zhang +1
Large-scale, pre-trained language models (LMs) have achieved human-level performance on a breadth of language understanding tasks. However, evaluations only based on end task perfo…
CX-ToM: Counterfactual Explanations with Theory-of-Mind for Enhancing Human Trust in Image Recognition Models
Arjun R. Akula, Keze Wang, Changsong Liu +5
We propose CX-ToM, short for counterfactual explanations with theory-of mind, a new explainable AI (XAI) framework for explaining decisions made by a deep convolutional neural netw…
Zero-Shot Compositional Concept Learning
Guangyue Xu, Parisa Kordjamshidi, Joyce Y. Chai
In this paper, we study the problem of recognizing compositional attribute-object concepts within the zero-shot learning (ZSL) framework. We propose an episode-based cross-attentio…
Hierarchical Task Learning from Language Instructions with Unified Transformers and Self-Monitoring
Yichi Zhang, Joyce Chai
Despite recent progress, learning new tasks through language instructions remains an extremely challenging problem. On the ALFRED benchmark for task learning, the published state-o…