Introduces the LLM ORDER BY semantic operator with algorithmic improvements, a semantic-aware external merge sort, and a budget-aware optimizer that selects near-optimal access paths for LLM-based ordering.
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ReWOO decouples reasoning from tool observations in augmented language models, delivering 5x token efficiency and 4% higher accuracy on multi-step reasoning benchmarks like HotpotQA.
ONTO notation reduces LLM input tokens by 46-51% versus JSON on synthetic operational datasets while preserving task accuracy through a schema-once columnar design with hierarchical support.
citing papers explorer
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Access Paths for Efficient Ordering with Large Language Models
Introduces the LLM ORDER BY semantic operator with algorithmic improvements, a semantic-aware external merge sort, and a budget-aware optimizer that selects near-optimal access paths for LLM-based ordering.
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ReWOO: Decoupling Reasoning from Observations for Efficient Augmented Language Models
ReWOO decouples reasoning from tool observations in augmented language models, delivering 5x token efficiency and 4% higher accuracy on multi-step reasoning benchmarks like HotpotQA.
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ONTO: A Token-Efficient Columnar Notation for LLM Input Optimization
ONTO notation reduces LLM input tokens by 46-51% versus JSON on synthetic operational datasets while preserving task accuracy through a schema-once columnar design with hierarchical support.