Noken Genetic Algorithms
Abstract
Beyond statistical correlation, for the purposes of next-token and sequence-to-sequence token learning, networks of Noken implicit deep learning models with low Renyi α-entropy are sought, in order to sharpen semantic alignment between queries and keys. Genetic algorithms, guided by evolutionary natural selection, are an efficient and systematic way to generate such Noken networks.
Fields of Study & Subjects
Topic Modeling
Evolutionary Algorithms and Applications
Natural Language Processing Techniques
Publication details
- Journal / source
- HAL (Le Centre pour la Communication Scientifique Directe)
- Publication date
- 1 January 2026
- Language
- EN
- Document type
- Preprint