arXiv AI
Access Paths for Efficient Ordering with Large Language Models
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Evergreen: Efficient Claim Verification for Semantic Aggregates
arXiv:2604. 26180v2 Announce Type: replace-cross Abstract: With recent semantic query processing engines, semantic aggregation has become a primitive operator, enabling the reduction of a relation into a natural language aggregate using an LLM.
arXiv AI
Jun 30
SemJoin: Semantic Join Optimization
arXiv:2606. 29532v1 Announce Type: cross Abstract: Integrating unstructured data into relational database systems is increasingly important as demand grows for natural language querying and analysis.
arXiv AI
Jul 28
Kalypso: Relational LLM Serving
arXiv:2607. 23815v1 Announce Type: cross Abstract: Large language models are increasingly used as semantic operators for filtering, extracting, ranking, joining, and transforming unstructured data.
arXiv AI
Jun 3
Test-Time Optimization of Physical Query Plans with LLMs
arXiv:2602. 10387v2 Announce Type: replace-cross Abstract: Traditional query optimization relies on cost-based optimizers that estimate execution cost (e.
Towards Data Science
Sep 28
Guided Merge Sort : An Optimized Sorting that Picks the Best from Ordinary and Multi-Way Merge Sort Algorithms
The article introduces Guided Merge Sort, an optimized sorting technique that combines elements of ordinary merge sort and multi‑way merge sort. It highlights how the use of the "goto" operator becomes essential in this approach. The post explains the algorithm’s design and its potential advantages over traditional methods.
arXiv Machine Learning
Sep 1
QueryGraph: Reliable Multi-Tool Query Execution Planning via LLM-Based Graph Generation
QueryGraph is a system that transforms natural language queries into structured graphs for reliable multi-tool execution. It employs a deterministic planner that uses depth-first search to resolve tool dependencies and combine results, improving reliability over traditional keyword searches. The approach works well even with smaller or locally hosted large language models, achieving high accuracy in multi-step, cross-tool queries.