5 citations · 8 across the 6 of their papers we have counts for
7 papers
TabJoinBench: A Benchmark for Joinable Table Discovery
Sandipan De, Jin Wang, Vivek Gupta
Join discovery aims to identify tables from large data repositories that can augment a query table with complementary information, enabling downstream tasks such as data exploratio…
Structured Multi-Step Reasoning for Entity Matching Using Large Language Model
Rohan Bopardikar, Jin Wang, Jia Zou
Entity matching is a fundamental task in data cleaning and data integration. With the rapid adoption of large language models (LLMs), recent studies have explored zero-shot and few…
Semantics-aware Dataset Discovery from Data Lakes with Contextualized Column-based Representation Learning
Grace Fan, Jin Wang, Yuliang Li +2
Dataset discovery from data lakes is essential in many real application scenarios. In this paper, we propose Starmie, an end-to-end framework for dataset discovery from data lakes…
Sudowoodo: Contrastive Self-supervised Learning for Multi-purpose Data Integration and Preparation
Runhui Wang, Yuliang Li, Jin Wang
Machine learning (ML) is playing an increasingly important role in data management tasks, particularly in Data Integration and Preparation (DI&P). The success of ML-based approache…
Machop: an End-to-End Generalized Entity Matching Framework
Jin Wang, Yuliang Li, Wataru Hirota +1
Real-world applications frequently seek to solve a general form of the Entity Matching (EM) problem to find associated entities. Such scenarios include matching jobs to candidates…
AutoSmart: An Efficient and Automatic Machine Learning framework for Temporal Relational Data
Zhipeng Luo, Zhixing He, Jin Wang +4
Temporal relational data, perhaps the most commonly used data type in industrial machine learning applications, needs labor-intensive feature engineering and data analyzing for giv…
Machamp: A Generalized Entity Matching Benchmark
Jin Wang, Yuliang Li, Wataru Hirota
Entity Matching (EM) refers to the problem of determining whether two different data representations refer to the same real-world entity. It has been a long-standing interest of th…