arXiv cs.NE
· Papers
Heaviside Continuity of Rolling Coefficients for Eliminating Epistemic Entropy in Large Language Models
arXiv:2607.04562v1 Announce Type: cross Abstract: Large language models (LLMs) generate fluent outputs that can be wrong. Unlike humans, who often exhibit cues when providing false information, LLMs produce errors that are difficult to detect because autoregressive decoding provides no mechanism for verifying intermedi