Grounded language learning
23 papers with code • 0 benchmarks • 1 datasets
Acquire the meaning of language in situated environments.
Benchmarks
These leaderboards are used to track progress in Grounded language learning
IGLU
Most implemented papers
Pretraining on Interactions for Learning Grounded Affordance Representations
jmerullo/affordances
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*SEM (NAACL) 2022
Lexical semantics and cognitive science point to affordances (i. e. the actions that objects support) as critical for understanding and representing nouns and verbs.
Compositional Generalization in Grounded Language Learning via Induced Model Sparsity
aalto-ai/sparse-compgen
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NAACL (ACL) 2022
We provide a study of how induced model sparsity can help achieve compositional generalization and better sample efficiency in grounded language learning problems.
Lexicon-Level Contrastive Visual-Grounding Improves Language Modeling
EvLab-MIT/LexiContrastiveGrd
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Today's most accurate language models are trained on orders of magnitude more language data than human language learners receive - but with no supervision from other sensory modalities that play a crucial role in human learning.
