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"We Need Structured Output": Towards User-centered Constraints on Large Language Model Output

A study on the need for output constraints in large language models from a user-centered perspective.

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"We Need Structured Output": Towards User-centered Constraints on Large Language Model Output

By Michael Xieyang Liu, Frederick Liu, Alexander J. Fiannaca
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The authors surveyed industry professionals to identify use cases and motivations for constraining LLM outputs. They found 134 concrete use cases at two levels: low-level and high-level constraints.

This work aims to integrate LLMs into developer workflows by understanding the need for structured output.

Abstract

The authors surveyed industry professionals to identify use cases and motivations for constraining LLM outputs. They found 134 concrete use cases at two levels: low-level and high-level constraints. This work aims to integrate LLMs into developer workflows by understanding the need for structured output.

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llm output constraintsuser-centered designdeveloper workflowsstructured outputlanguage modelsLarge Language ModelsContent EngineeringAI AgentsStructured Content
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