53 citations · 118 across the 36 of their papers we have counts for
5 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…
LUMINOUS: Indoor Scene Generation for Embodied AI Challenges
Yizhou Zhao, Kaixiang Lin, Zhiwei Jia +4
Learning-based methods for training embodied agents typically require a large number of high-quality scenes that contain realistic layouts and support meaningful interactions. Howe…
Embodied BERT: A Transformer Model for Embodied, Language-guided Visual Task Completion
Alessandro Suglia, Qiaozi Gao, Jesse Thomason +2
Language-guided robots performing home and office tasks must navigate in and interact with the world. Grounding language instructions against visual observations and actions to tak…
Learning Better Visual Dialog Agents with Pretrained Visual-Linguistic Representation
Tao Tu, Qing Ping, Govind Thattai +2
GuessWhat?! is a two-player visual dialog guessing game where player A asks a sequence of yes/no questions (Questioner) and makes a final guess (Guesser) about a target object in a…
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…