Grammar Prompting for Domain-Specific Language Generation with Large Language Models Bailin Wang Zi Wang Xuezhi Wang
–Neural Information Processing Systems
However, for generating strings from highly structured languages (e.g., semantic parsing to complex domain-specific languages), it is challenging for the LLM to generalize from just a few
Neural Information Processing Systems
Oct-9-2025, 07:48:35 GMT
- Country:
- Asia
- China > Beijing
- Beijing (0.04)
- Middle East > Jordan (0.04)
- China > Beijing
- Europe > Italy
- North America
- Dominican Republic (0.04)
- United States
- Arizona (0.04)
- Connecticut > New Haven County
- New Haven (0.04)
- Hawaii (0.04)
- Massachusetts > Middlesex County
- Cambridge (0.04)
- Minnesota > Hennepin County
- Minneapolis (0.14)
- Washington > King County
- Seattle (0.04)
- Asia
- Genre:
- Research Report > New Finding (0.46)
- Technology: