Key Insights |
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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.