AIConfPaper
← Search

Chuan Lei

6 accepted papers

2025

DiscoverGPT: Multi-task Fine-tuning Large Language Model for Related Table Discovery

Xuming Hu, Xiao Qin, Chuan Lei, Asterios Katsifodimos, Zhengyuan Shen, Balasubramaniam Srinivasan +1
NAACL 2025findings

Natural language understanding over tabular data has played a significant role in data discovery tasks such as joinable and unionable table search. State-of-the-art approaches adopt large language models (LLMs) pre-trained over massive text corpora to learn and evaluate the table semantic relatednes…

Cited by 0Source ↗PDF ↗Scholar ↗
2025

PolyJoin: Semantic Multi-key Joinable Table Search in Data Lakes

Xuming Hu, Chuan Lei, Xiao Qin, Asterios Katsifodimos, Christos Faloutsos, Huzefa Rangwala
NAACL 2025findings

Given a query table, how can we effectively discover multi-key joinable tables on the web? This can be seen as a retrieval task, where users can lookup on the web for tables related to an existing one. Searching and discovering such joinable tables is critical to data analysts and data scientists fo…

Cited by 0Source ↗PDF ↗Scholar ↗
2025

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL

Yue Gong, Chuan Lei, Xiao Qin, Kapil Vaidya, Balakrishnan Murali Narayanaswamy, Tim Kraska
NeurIPS 2025poster

Text-to-SQL systems translate natural language (NL) questions into SQL queries, enabling non-technical users to interact with structured data. While large language models (LLMs) have shown promising results on the text-to-SQL task, they often produce semantically incorrect yet syntactically valid qu…

Cited by 0Source ↗Scholar ↗
2024

4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs

Minjie Wang, Quan Gan, David Wipf, Zheng Zhang, Christos Faloutsos, Weinan Zhang +14
NeurIPS 2024poster

Given a relational database (RDB), how can we predict missing column values in some target table of interest? Although RDBs store vast amounts of rich, informative data spread across interconnected tables, the progress of predictive machine learning models as applied to such tasks arguably falls we…

Cited by 0Source ↗PDF ↗code ↗Scholar ↗
2024

OpenTab: Advancing Large Language Models as Open-domain Table Reasoners

Kezhi Kong, Jiani Zhang, Zhengyuan Shen, Balasubramaniam Srinivasan, Chuan Lei, Christos Faloutsos +2
ICLR 2024poster

Large Language Models (LLMs) trained on large volumes of data excel at various natural language tasks, but they cannot handle tasks requiring knowledge that has not been trained on previously. One solution is to use a retriever that fetches relevant information to expand LLM's knowledge scope. Howev…

Cited by 22Source ↗PDF ↗code ↗Scholar ↗
2023

Automatic Table Union Search with Tabular Representation Learning

Xuming Hu, Shen Wang, Xiao Qin, Chuan Lei, Zhengyuan Shen, Christos Faloutsos +4
ACL 2023findings

Given a data lake of tabular data as well as a query table, how can we retrieve all the tables in the data lake that can be unioned with the query table? Table union search constitutes an essential task in data discovery and preparation as it enables data scientists to navigate massive open data rep…

Cited by 20Source ↗PDF ↗Scholar ↗