Work

Active Learning Methodology in LLMs Fine-Tuning

Year: 2024

Type: conference-paper

Source: IEEE International Conference on Cyber Security and Resilience (CSR)

DOI: 10.1109/csr61664.2024.10679450

Authors: Paolo Ceravolo, Fatemeh Mohammadi, Marta Annamaria Tamborini

Institution: University of Milan

Language: English

Topic: Machine Learning and Algorithms

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Reduced inequalities

Open Access status: closed

Funder: European Commission

Award: G1704175309

OpenAlex ID: W4402811961

FWCI: 0.587

Cites: 11

Cited by: 2

Related to: 10