Classical models classify Ghana mobile-money scam SMS on a 220-message set
Held-out accuracy, F1 and AUC were 1.00 for Naive Bayes and linear SVM; cross-validated accuracy averaged 92.0% to 96.6%.
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Stories tagged #text-classification
fastino/GLiNER2.5-Decide — new model trending #30 on Hugging Face
Fastino's 340M GLiNER2.5-Decide classifier scores 60.2% exact match on a 17-domain benchmark.
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Laya the open source version of Jev
Convai Innovations released Laya, an open-source Apache 2.0 family of non-autoregressive decision models claiming 6-8x faster inference than TypeSafe AI's Jev.
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Cross-sector generalization of accident-process role classification in occupational accident narratives
Task-adapted models classify French accident narratives across sectors at about 86% balanced accuracy.
Train Smarter, Not Harder: Switching Signal-Guided Training in Active Learning
HybridAL is an active-learning training schedule that switches from retraining to fine-tuning on stabilization signals, saving up to 49% time.
ReCAST: Restoration-aware Cascaded Stage-wise Training for Obfuscated SMS Risk Classification
ReCAST distills a large teacher model's de-obfuscation ability into smaller models for robust classification of obfuscated Chinese SMS fraud messages.