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cloud.google.com·7h ago
AI Research
arXiv CS.AI·25d ago·5 min read
Schema-Key Wording as an Instruction Channel in Structured Generation under Constrained Decoding
TL;DR
A systematic study reveals that schema-key wording significantly influences structured output generation in language models, affecting accuracy positively and negatively. This highlights the importance of schema design as part of instruction specification.
✦ Why It Matters
Consider revising schema-key wording in your models to enhance structured output accuracy.
Key Takeaways
- Experiment with schema-key wording to improve model accuracy.
- Understand the interaction between prompt-level and schema-level instructions.
- Utilize constrained decoding for structured outputs like JSON.
- Recognize schema design as part of instruction specification.
How It Works
The study treats structured generation as a multi-channel instruction problem, where task signals can be embedded in prompts and schema keys. By analyzing the effects of schema-key wording, the researchers demonstrate that these keys can guide the generation process, influencing the model's output significantly.