Research talk: IGLU: Interactive grounded language understanding in a collaborative environment
- Julia Kiseleva | Microsoft Research Redmond
- Microsoft Research Summit 2021 | The Future of Search & Recommendation
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)
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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
- Paul Bennett
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Research talk: System frontiers for dense retrieval
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- Knut Risvik
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Research talk: Domain-specific pretraining for vertical search
- Tristan Naumann
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Panel: The future of search and recommendation: Beyond web search
- Eric Horvitz,
- Nitin Agrawal,
- Soumen Chakrabati
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Panel: Causality in search and recommendation systems
- Emre Kiciman,
- Amit Sharma,
- Dean Eckles
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