论文标题

在协作环境中的互动基础语言理解:IGLU 2021

Interactive Grounded Language Understanding in a Collaborative Environment: IGLU 2021

论文作者

Kiseleva, Julia, Li, Ziming, Aliannejadi, Mohammad, Mohanty, Shrestha, ter Hoeve, Maartje, Burtsev, Mikhail, Skrynnik, Alexey, Zholus, Artem, Panov, Aleksandr, Srinet, Kavya, Szlam, Arthur, Sun, Yuxuan, Côté, Marc-Alexandre, Hofmann, Katja, Awadallah, Ahmed, Abdrazakov, Linar, Churin, Igor, Manggala, Putra, Naszadi, Kata, van der Meer, Michiel, Kim, Taewoon

论文摘要

人类智能具有快速适应新任务和环境的非凡能力。从很小的时候开始,人类就可以获得新技能,并学习如何通过模仿他人的行为或遵循提供的自然语言指示来解决新任务。为了促进这个方向的研究,我们提出\ emph {iglu:在协作环境中的互动基础语言理解}。 竞争的主要目的是解决如何建立互动代理的问题,这些交互式代理在协作环境中提供了扎根的自然语言指示,以学习解决任务。了解挑战的复杂性,我们将其分为子任务,以使其对参与者的可行。

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.

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