State of the Art and Future Directions of Small Language Models: A Systematic Review

State of the Art and Future Directions of Small Language Models: A Systematic Review

Small Language Models (SLMs) have emerged as a critical area of study within natural language processing, attracting growing attention from both academia and industry. This systematic literature review provides a comprehensive and reproducible analysis of recent developments and advancements in SLMs...

Full description

Saved in:
Bibliographic Details
Main Authors: Flavio Corradini, Matteo Leonesi, Marco Piangerelli
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Big Data and Cognitive Computing
Subjects:
small language models
systematic literature review
architectural compression
benchmarking
future directions
generative AI
Online Access:https://www.mdpi.com/2504-2289/9/7/189
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items