Mete Ozay

SpanDec achieves state-of-the-art NER accuracy with significantly improved throughput, proving that you don't need to exhaustively process every possible span to achieve top performance.

Differentially private federated learning gets a boost: PINA achieves 2.9% higher accuracy than state-of-the-art methods by using a novel two-stage approach with privacy-preserving initialization and normality-driven aggregation.