transformer-grammars-11373244·1 events·first seen Aliases: Transformer Grammars
A new arXiv preprint evaluates Depth-First, Breadth-First, and a novel hybrid Production-Rule Traversal strategy for linearizing syntactic trees in Transformer Grammars. The authors test these methods across language modeling, syntactic generalization, and summarization tasks with varying tree configurations and masking strategies. The study reveals inherent trade-offs between nested composition and global lookahead, offering design recommendations for task-aware Transformer Grammars.