Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

General LLMs Versus Fine-Tuned Models on Algerian Dialect Classification Tasks

Type de record:

paper
Créateur:
Mes
Éditeur:
IEEE
Hôte:

Visit

doi.org

Languages

Arabic, Algerian Spoken

Licenses

https://doi.org/10.15223/policy-029https://doi.org/10.15223/policy-037

Similaires

altaseb12/Automatic-Amharic-Text-News-Classification-Using-Fine--Tuned-BERT-ModelsFine-Tuning Transformers and LLMs for Fake News Detection in Algerian Dialectitsabdou/qwen3-8b-fine-tuned-algerian-v2itsabdou/llama31-8b-fine-tuned-algerian-v1Fine-tuned models: Galician, Iban, SetswanaSynthetic Predictions for Real Interventions: Augmenting Behavioral RCTs with Fine-Tuned LLMs

altaseb12/Automatic-Amharic-Text-News-Classification-Using-Fine--Tuned-BERT-Models

Automatic Amharic Text News Classification Using Fine- Tuned BERT Models like XML-R,Afri berta

Fine-Tuning Transformers and LLMs for Fake News Detection in Algerian Dialect

itsabdou/qwen3-8b-fine-tuned-algerian-v2

itsabdou/llama31-8b-fine-tuned-algerian-v1

Fine-tuned models: Galician, Iban, Setswana

wav2vec 2.0 XLSR-128 models (with and without adaptation via continued pre-training) fine-tuned on 1

Synthetic Predictions for Real Interventions: Augmenting Behavioral RCTs with Fine-Tuned LLMs

Randomized controlled trials are the gold standard for causal inference but are costly and slow. Lar