2 papers
cs.LG2026
Human-LLM Collaborative Feature Engineering for Tabular Data
Zhuoyan Li, Aditya Bansal, Jinzhao Li +8
Large language models (LLMs) are increasingly used to automate feature engineering in tabular learning. Given task-specific information, LLMs can propose diverse feature transforma…
cs.HC2024
CoPrompter: User-Centric Evaluation of LLM Instruction Alignment for Improved Prompt Engineering
Ishika Joshi, Simra Shahid, Shreeya Venneti +5
Ensuring large language models' (LLMs) responses align with prompt instructions is crucial for application development. Based on our formative study with industry professionals, th…