Web: http://arxiv.org/abs/2110.10661

Jan. 26, 2022, 2:11 a.m. | Victor Zhong, Austin W. Hanjie, Sida I. Wang, Karthik Narasimhan, Luke Zettlemoyer

cs.LG updates on arXiv.org arxiv.org

Existing work in language grounding typically study single environments. How
do we build unified models that apply across multiple environments? We propose
the multi-environment Symbolic Interactive Language Grounding benchmark (SILG),
which unifies a collection of diverse grounded language learning environments
under a common interface. SILG consists of grid-world environments that require
generalization to new dynamics, entities, and partially observed worlds (RTFM,
Messenger, NetHack), as well as symbolic counterparts of visual worlds that
require interpreting rich natural language with respect to …

arxiv environment interactive language

More from arxiv.org / cs.LG updates on arXiv.org

Data Analyst, Credit Risk

@ Stripe | US Remote

Senior Data Engineer

@ Snyk | Cluj, Romania, or Remote

Senior Software Engineer (C++), Autonomy Visualization

@ Nuro, Inc. | Mountain View, California (HQ)

Machine Learning Intern (January 2023)

@ Cohere | Toronto, Palo Alto, San Francisco, London

Senior Machine Learning Engineer, Reinforcement Learning, Personalization

@ Spotify | New York, NY

AWS Data Engineer

@ ProCogia | Seattle