Papers
arxiv:2307.09702
Efficient Guided Generation for Large Language Models
Published on Jul 19, 2023
Abstract
An efficient method guides language model text generation using regular expressions and context-free grammars with minimal overhead.
Generated by Qwen/Qwen2.5-Coder-32B-Instruct
In this article we describe an efficient approach to guiding language model text generation with regular expressions and context-free grammars. Our approach adds little to no overhead to the token sequence generation process, and makes guided generation feasible in practice. An implementation is provided in the open source Python library Outlines.
Community
Get this paper in your agent:
hf papers read 2307.09702 Don't have the latest CLI?
curl -LsSf https://hf.co/cli/install.sh | bash Models citing this paper 0
No model linking this paper
Cite arxiv.org/abs/2307.09702 in a model README.md to link it from this page.
Datasets citing this paper 0
No dataset linking this paper
Cite arxiv.org/abs/2307.09702 in a dataset README.md to link it from this page.
Spaces citing this paper 0
No Space linking this paper
Cite arxiv.org/abs/2307.09702 in a Space README.md to link it from this page.