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Paper detail

Interactive Grounded Language Understanding in a Collaborative Environment: IGLU 2021

Human intelligence has the remarkable ability to quickly adapt to new tasks and environments. Starting from a very young age, humans acquire new skills and learn how to solve new tasks either by imitating the behavior of others or by following provided natural language instructions. To facilitate research in this direction, we propose \emph{IGLU: Interactive Grounded Language Understanding in a Collaborative Environment}. The primary goal of the competition is to approach the problem of how to build interactive agents that learn to solve a task while provided with grounded natural language instructions in a collaborative environment. Understanding the complexity of the challenge, we split it into sub-tasks to make it feasible for participants.

preprint2022arXivOpen access
Julia KiselevaZiming LiMohammad AliannejadiShrestha MohantyMaartje ter HoeveMikhail BurtsevAlexey SkrynnikArtem ZholusAleksandr PanovKavya SrinetArthur SzlamYuxuan SunMarc-Alexandre CôtéKatja HofmannAhmed AwadallahLinar AbdrazakovIgor ChurinPutra ManggalaKata NaszadiMichiel van der MeerTaewoon Kim
Computation and LanguageArtificial Intelligence
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Julia KiselevaZiming LiMohammad AliannejadiShrestha MohantyMaartje ter HoeveMikhail BurtsevAlexey SkrynnikArtem ZholusAleksandr PanovKavya SrinetArthur SzlamYuxuan SunMarc-Alexandre CôtéKatja HofmannAhmed AwadallahLinar AbdrazakovIgor ChurinPutra ManggalaKata NaszadiMichiel van der MeerTaewoon Kim

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