AI & Data Discovery
Overview
Advances intelligent data systems for AI, with emphasis on smart infrastructure for retrieval-augmented generation (RAG). Through better data organization and retrieval, this subgroup enhances AI’s ability to access, integrate, and apply information effectively.
Team
Related publications
AI & Data Discovery2025
HCT-QA: A Benchmark for Question Answering on Human-Centric Tables
Mohammad Shahmeer Ahmad, Zan A Naeem, Michael Aupetit, Ahmed Elmagarmid, Mohamed Eltabakh, Xiasong Ma, Mourad Ouzzani, Chaoyi Ruan — arXiv preprint arXiv:2504.20047 (2025)
AI & Data Discovery2024
RetClean: Retrieval-Based Data Cleaning Using LLMs and DataLakes
Zan Ahmad Naeem, Mohammad Shahmeer Ahmad, Mohamed Y Eltabakh, Mourad Ouzzani, Nan Tang — Proceedings of the VLDB Endowment (2024)
AI & Data Discovery2023
Cross Modal Data Discovery over Structured and Unstructured Data Lakes
Mohamed Y. Eltabakh, Mayuresh Kunjir, Ahmed Elmagarmid, Mohammad Shahmeer Ahmad — Proceedings of the VLDB Endowment (2023)
AI & Data Discovery2021
RPT: relational pre-trained transformer is almost all you need towards democratizing data preparation
Nan Tang, Ju Fan, Fangyi Li, Jianhong Tu, Xiaoyong Du, Guoliang Li, Sam Madden, Mourad Ouzzani — Proceedings of the VLDB Endowment (2021)
AI & Data Discovery2021
Deep Learning for Blocking in Entity Matching: A Design Space Exploration
Muhammad Ebraheem, Saravanan Thirumuruganathan, Shafiq Joty, Mourad Ouzzani, Nan Tang — Proceedings of the VLDB Endowment (2021)
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