7 citations · 7 across the 2 of their papers we have counts for
5 papers
X-ToM: Explaining with Theory-of-Mind for Gaining Justified Human Trust
Arjun R. Akula, Changsong Liu, Sari Saba-Sadiya +4
We present a new explainable AI (XAI) framework aimed at increasing justified human trust and reliance in the AI machine through explanations. We pose explanation as an iterative c…
Report of 2017 NSF Workshop on Multimedia Challenges, Opportunities and Research Roadmaps
Shih-Fu Chang, Alex Hauptmann, Louis-Philippe Morency +18
With the transformative technologies and the rapidly changing global R&D landscape, the multimedia and multimodal community is now faced with many new opportunities and uncertainti…
Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and Approaches
Shane Storks, Qiaozi Gao, Joyce Y. Chai
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 explicit…
Natural Language Interaction with Explainable AI Models
Arjun R Akula, Sinisa Todorovic, Joyce Y Chai +1
This paper presents an explainable AI (XAI) system that provides explanations for its predictions. The system consists of two key components -- namely, the prediction And-Or graph…
Interactive Learning of State Representation through Natural Language Instruction and Explanation
Qiaozi Gao, Lanbo She, Joyce Y. Chai
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…