This research introduces a highly efficient algorithm for ensuring LLM outputs conform to specific syntactic rules, particularly valuable for code generation and structured data outputs.

• Novel approach that efficiently aligns LLM subword tokenization with context-free grammar requirements
• Significant performance gains - 17.71x faster than existing methods
• Flexible implementation that works across different LLM architectures
• Enhanced output quality while maintaining strict syntax compliance

For engineering teams, this breakthrough enables more reliable code generation and structured data outputs from LLMs with minimal computational overhead, making grammar-constrained applications more viable in production environments.

Flexible and Efficient Grammar-Constrained Decoding