research
CONE embedding model preserves numerical semantics for structured data reasoning
Researchers introduce CONE, a hybrid transformer encoder that embeds numbers, ranges, and gaussians while preserving unit and variable semantics. The model achieves 87.28% F1 on the DROP benchmark, a 9.37% improvement over prior state-of-the-art systems.