10 citations · 11 across the 5 of their papers we have counts for
6 papers
Database Entity Recognition with Data Augmentation and Deep Learning
Zikun Fu, Chen Yang, Kourosh Davoudi +1
This paper addresses the challenge of Database Entity Recognition (DB-ER) in Natural Language Queries (NLQ). We present several key contributions to advance this field: (1) a human…
Evaluating LLMs for Text-to-SQL Generation With Complex SQL Workload
Limin Ma, Ken Pu, Ying Zhu
This study presents a comparative analysis of the a complex SQL benchmark, TPC-DS, with two existing text-to-SQL benchmarks, BIRD and Spider. Our findings reveal that TPC-DS querie…
Large Language User Interfaces: Voice Interactive User Interfaces powered by LLMs
Syed Mekael Wasti, Ken Q. Pu, Ali Neshati
The evolution of Large Language Models (LLMs) has showcased remarkable capacities for logical reasoning and natural language comprehension. These capabilities can be leveraged in s…
Incremental Information Gain Mining Of Temporal Relational Streams
Ken Pu, Limin Ma
This paper studies the problem of mining for data values with high information gain in relational tables. High information gain can help data analysts and secondary data mining alg…
Data Lake Organization
Fatemeh Nargesian, Ken Q. Pu, Bahar Ghadiri Bashardoost +2
We consider the problem of creating a navigation structure that allows a user to most effectively navigate a data lake. We define an organization as a graph that contains nodes rep…
LSH Ensemble: Internet-Scale Domain Search
Erkang Zhu, Fatemeh Nargesian, Ken Q. Pu +1
We study the problem of domain search where a domain is a set of distinct values from an unspecified universe. We use Jaccard set containment, defined as , as the r…