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Found 4 papers, 4 papers with code
COLLIE: Systematic Construction of Constrained Text Generation Tasks
Text generation under constraints have seen increasing interests in natural language processing, especially with the rapidly improving capabilities of large language models.
SemSup: Semantic Supervision for Simple and Scalable Zero-shot Generalization
Prior work along this vein have largely used expensive per-instance annotation or singular class-level descriptions, but per-instance descriptions are hard to scale and single class descriptions may not be rich enough.
SILG: The Multi-environment Symbolic Interactive Language Grounding Benchmark
We hope SILG enables the community to quickly identify new methodologies for language grounding that generalize to a diverse set of environments and their associated challenges.
Grounding Language to Entities and Dynamics for Generalization in Reinforcement Learning
We investigate the use of natural language to drive the generalization of control policies and introduce the new multi-task environment Messenger with free-form text manuals describing the environment dynamics.
