Research talk: IGLU: Interactive grounded language understanding in a collaborative environment
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 by either imitating others’ behavior or following provided natural language instructions. In this talk, we discuss our proposal to facilitate research in this direction, IGLU: Interactive Grounded Language Understanding in a Collaborative Environment. This is a competition whose goal is to approach the problem of building interactive agents that learn to solve a task while provided with grounded natural language instructions in a collaborative environment. We share how we split the challenge into subtasks to make it feasible for participants due to its complexity.
Learn more about the 2021 Microsoft Research Summit: https://Aka.ms/researchsummit (opens in new tab)
- 轨迹:
- The Future of Search & Recommendation
- 日期：
- 演讲者：
- Julia Kiseleva
- 所属机构：
- Microsoft Research Redmond
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Julia Kiseleva
Senior Researcher
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The Future of Search & Recommendation
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Keynote: Universal search and recommendation
Speakers:- Paul Bennett
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Research talk: Learning and pretraining strategies for dense retrieval in search and beyond
Speakers:- Chenyan Xiong
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Research talk: Is phrase retrieval all we need?
Speakers:- Danqi Chen
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Research talk: IGLU: Interactive grounded language understanding in a collaborative environment
Speakers:- Julia Kiseleva
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Research talk: Summarizing information across multiple documents and modalities
Speakers:- Subhojit Som
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Panel: The future of search and recommendation: Beyond web search
Speakers:- Eric Horvitz,
- Nitin Agrawal,
- Soumen Chakrabati
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Research talk: Attentive knowledge-aware graph neural networks for recommendation
Speakers:- Yaming Yang
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Panel: Causality in search and recommendation systems
Speakers:- Emre Kiciman,
- Amit Sharma,
- Dean Eckles
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