35 citations · 62 across the 4 of their papers we have counts for
5 papers
Automatic Data Transformation Using Large Language Model: An Experimental Study on Building Energy Data
Ankita Sharma, Xuanmao Li, Hong Guan +9
Existing approaches to automatic data transformation are insufficient to meet the requirements in many real-world scenarios, such as the building sector. First, there is no conveni…
MathChat: Converse to Tackle Challenging Math Problems with LLM Agents
Yiran Wu, Feiran Jia, Shaokun Zhang +7
Employing Large Language Models (LLMs) to address mathematical problems is an intriguing research endeavor, considering the abundance of math problems expressed in natural language…
FLAML: A Fast and Lightweight AutoML Library
Chi Wang, Qingyun Wu, Markus Weimer +1
We study the problem of using low computational cost to automate the choices of learners and hyperparameters for an ad-hoc training dataset and error metric, by conducting trials o…
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…