Deep networks learn to parse uniform-depth context-free languages from local statistics 事件

Deep networks learn to parse uniform-depth context-free languages from local statistics arXiv:2602.06065v3 Announce Type: replace-cross Abstract: Understanding how the structure of language can be learned from sentences alone is a central question in both cognitive science and machine learning. Studies of the internal representations of Large Language Models (LLMs) support their ability to parse text when predicting the next word, while representing semantic notions independently of surface for