Work

Weak-to-Strong Prompts with Lightweight-to-Powerful LLMs for High-Accuracy, Low-Cost, and Explainable Data Transformation

Year: 2025

Type: article

Source: Proceedings of the VLDB Endowment

DOI: 10.14778/3742728.3742734

Authors: Changlun Li, Chenyu Yang, Yuyu Luo, Ju Fan, Nan Tang

Institutions: The Hong Kong University of Science and Technology (Guangzhou), Renmin University of China

Language: English

Topic: Software Engineering Research

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4413943418

FWCI: 4.355

Cites: 34

Cited by: 4

Related to: 10