8 citations · 11 across the 2 of their papers we have counts for
2 papers
cs.AI2024★ 3 cited
Increasing the LLM Accuracy for Question Answering: Ontologies to the Rescue!
Dean Allemang, Juan Sequeda
There is increasing evidence that question-answering (QA) systems with Large Language Models (LLMs), which employ a knowledge graph/semantic representation of an enterprise SQL dat…
cs.AI2023★ 8 cited
A Benchmark to Understand the Role of Knowledge Graphs on Large Language Model's Accuracy for Question Answering on Enterprise SQL Databases
Juan Sequeda, Dean Allemang, Bryon Jacob
Enterprise applications of Large Language Models (LLMs) hold promise for question answering on enterprise SQL databases. However, the extent to which LLMs can accurately respond to…