
| Key Insights |
|---|
| Challenges in generating structured outputs |
| Introduction of Grammar-Aligned Decoding (GAD) |
| Ensuring grammatical outputs aligned with LLMs |
| Improving code generation and NLP tasks |
This study focuses on enhancing the output quality of Large Language Models (LLMs) when generating structured outputs like code. It introduces Grammar-Aligned Decoding (GAD) to ensure grammatical outputs align with the LLM’s distribution, leading to higher-quality outputs in code generation and structured NLP tasks.