#artificial intelligence
Apr 2026
Convergent Evolution: How Different Language Models Learn Similar Number Representations
This paper identifies two different routes through which models can acquire geometrically separable features: they can learn them from complementary co-occurrence signals in general language data, including text-number co-occurrence and cross-number interaction, or from multi-token addition problems.
Deqing Fu, Tianyi Zhou, Mikhail Belkin et al.
· arXiv.org · 3 citations