2026
A geometric relation of the error introduced by sampling a language model's output distribution to its internal state
ICML 2026poster
GPT-style language models are sensitive to single-token changes at generation points where the predicted probability distribution is spread across multiple tokens. Viewing this sensitivity as a geometric property, we derive an $\mathfrak{so}(n)$-valued 1-form that depends only on the geometry of the…