Danielle Belgrave

LLMs systematically favor text over numbers in evidence arbitration, revealing a critical failure mode in decision-making systems that rely on heterogeneous data sources.

Ditching noisy SGD trajectories for smooth Bezier curves unlocks better dataset condensation, especially when data is scarce.

Dataset condensation, previously limited to neural networks, can now democratize access to clinical data by enabling privacy-preserving training of classical models like decision trees and Cox regression.