Vldb2024

[VLDB 2024] Six papers, (1) “MisDetect: Iterative Mislabel Detection using Early Loss”, (2) “LakeBench: A Benchmark for Discovering Joinable and Unionable Tables in Data Lakes”, (3)”Combining Small Language Models and Large Language Models for Zero-Shot NL2SQL”, (4) “Are Large Language Models a Good Replacement of Taxonomies?”, (5) “HAIChart: Human and AI Paired Visualization System”, (6) “The Dawn of Natural Language to SQL: Are We Fully Ready?”, and two demos, (i) “Retrieval-Based Tabular Data Cleaning Using LLMs and Data Lake”, (ii) “LakeCompass: An End-to-End System for Table Maintenance, Search and Analysis in Data Lakes”, were accepted.