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arXiv CS.AI·3d ago·5 min read
Semantic Views: Certified Reuse of LLM Labels Across Semantic Queries
TL;DR
SemViews is a certified semantic filter that optimizes the reuse of labels from large language models (LLMs) across semantic queries, significantly reducing costly oracle calls. It achieves over 99% accuracy while saving 28%-45% of these calls compared to previous methods.
✦ Why It Matters
Implement SemViews to enhance your semantic query efficiency and reduce costs associated with oracle calls.
Key Takeaways
- Utilize SemViews to optimize semantic query performance.
- Reduce oracle call costs by 28%-45% with certified results.
- Achieve over 99% accuracy in meeting precision and recall targets.
- Leverage previously generated labels for improved query efficiency.
How It Works
SemViews orders query results using labels from previous queries, local embeddings, and scores from a helper model, minimizing the need for costly oracle calls. It refines this order with necessary oracle evaluations and certifies the results with new samples, ensuring accuracy.