2 papers
cs.DB2025
Robust LLM-based Column Type Annotation via Prompt Augmentation with LoRA Tuning
Hanze Meng, Jianhao Cao, Rachel Pottinger
Column Type Annotation (CTA) is a fundamental step towards enabling schema alignment and semantic understanding of tabular data. Existing encoder-only language models achieve high…
cs.DB2024
Evaluating SQL Understanding in Large Language Models
Ananya Rahaman, Anny Zheng, Mostafa Milani +2
The rise of large language models (LLMs) has significantly impacted various domains, including natural language processing (NLP) and image generation, by making complex computation…