Topic
data quality
Artificial Intelligence #semi-supervised learning#urban mapping
SLUM-i: AI Semi-Supervised Learning Maps Informal Settlements with Benchmark Dataset
A new AI framework called SLUM-i uses semi-supervised learning to map informal settlements in cities like Lahore, Karachi, and Mumbai. It introduces a benchmark dataset and achieves up to +5.9 pp mIoU improvement over existing methods.
Jun 17, 2026 1 source
Artificial Intelligence #ai#machine learning
The Quality-Utility Paradox: Why High-Reward Data Impairs Small Model Mathematical Reasoning
A research paper identifies a 'Quality-Utility Paradox' in mathematical reasoning distillation: data refined by stronger models (Oracle) receives high reward scores but impairs small model performance compared to using the model's own self-generated traces. The authors propose Style-Aligned Refinement to preserve native reasoning patterns while incorporating logical corrections.
Jun 16, 2026 1 source