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Our goal is to create an interactive natural language interface that efficiently and reliably learns from users to complete tasks in simulated robotics settings.
Craftassist: A framework for dialogue-enabled interactive agents
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Cosql: A conversational text-to-SQL challenge towards cross-domain natural language interfaces to databases
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On the importance of adaptive data collection for extremely imbalanced pairwise tasks
S. Mussman, R. Jia, and P. Liang. 2020 · 2020
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Alfred: A benchmark for interpreting grounded instructions for everyday tasks
M. Shridhar, J. Thomason, D. Gordon, Y. Bisk, W. Han, R. Mottaghi, L. Zettlemoyer, and D. Fox. 2020 · 2020
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Programming in natural language with fuse: Synthesizing methods from spoken utterances using deep natural language understanding
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