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Competition: Competition Track Day 3: Overviews + Breakout Sessions

IGLU: Interactive Grounded Language Understanding in a Collaborative Environment + Q&A

Julia Kiseleva · Ziming Li · Mohammad Aliannejadi · Maartje Anne ter Hoeve · Mikhail Burtsev · Alexey Skrynnik · Artem Zholus · Aleksandr Panov · Katja Hofmann · Kavya Srinet · arthur szlam · Michel Galley · Ahmed Awadallah


Abstract:

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 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.