Davide Romano

Frontier model performance is now within reach for a wider array of institutions, thanks to a novel Continual Learning approach that minimizes forgetting while maximizing capability.

Exploitation, not exploration, is the critical bottleneck in test-time scaling for language models, with selection processes yielding near-random results despite rich candidate pools.