Deep Learning

Reasoning has become a defining capability of large language models, yet the learning mechanisms behind its emergence and generalization remain poorly understood. Yu Huang examines how chain-of-thought training on short problems enables length generalization, and how self-improvement can extend that ability further. The talk then analyses how the reasoning frontier evolves under reinforcement…