60 citations · 68 across the 12 of their papers we have counts for
4 papers · 1 filter
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…
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…
Are We There Yet? Learning to Localize in Embodied Instruction Following
Shane Storks, Qiaozi Gao, Govind Thattai +1
Embodied instruction following is a challenging problem requiring an agent to infer a sequence of primitive actions to achieve a goal environment state from complex language and vi…