60 citations · 155 across the 19 of their papers we have counts for
5 papers · 1 filter
Towards Large-Scale Interpretable Knowledge Graph Reasoning for Dialogue Systems
Yi-Lin Tuan, Sajjad Beygi, Maryam Fazel-Zarandi +3
Users interacting with voice assistants today need to phrase their requests in a very specific manner to elicit an appropriate response. This limits the user experience, and is par…
Best of Both Worlds: A Hybrid Approach for Multi-Hop Explanation with Declarative Facts
Shane Storks, Qiaozi Gao, Aishwarya Reganti +1
Language-enabled AI systems can answer complex, multi-hop questions to high accuracy, but supporting answers with evidence is a more challenging task which is important for the tra…
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…
Interactive Teaching for Conversational AI
Qing Ping, Feiyang Niu, Govind Thattai +7
Current conversational AI systems aim to understand a set of pre-designed requests and execute related actions, which limits them to evolve naturally and adapt based on human inter…
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…