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SILG: The Multi-environment Symbolic Interactive Language Grounding Benchmark. (arXiv:2110.10661v2 [cs.CL] UPDATED)
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 …
More from arxiv.org / cs.LG updates on arXiv.org
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