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Jellyfish: A Large Language Model for Data Preprocessing
This paper explores the utilization of LLMs for data preprocessing (DP), a crucial step in the data mining pipeline that transforms raw data into a clean format conducive to easy processing.
Large Language Models as Data Preprocessors
Large Language Models (LLMs), typified by OpenAI's GPT series and Meta's LLaMA variants, have marked a significant advancement in artificial intelligence.
DeepJoin: Joinable Table Discovery with Pre-trained Language Models
They are either exact solutions whose running time is linear in the sizes of query column and target table repository or approximate solutions lacking precision.
Table Enrichment System for Machine Learning
Data scientists are constantly facing the problem of how to improve prediction accuracy with insufficient tabular data.
Efficient Joinable Table Discovery in Data Lakes: A High-Dimensional Similarity-Based Approach
Finding joinable tables in data lakes is key procedure in many applications such as data integration, data augmentation, data analysis, and data market.
