Develops ACW-based semantic timescale features showing longer autocorrelation windows associate with generic vocabulary and shorter ones with specific words in both human and LLM speech, with the pattern abolished by randomizing word order and timing.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
Patients with psychosis exhibit elevated DFA scaling exponents in BERT-derived semantic similarity time series from transcripts, indicating excessive persistence in semantic fluctuations.
citing papers explorer
-
The Dynamics of Human and AI-Generated Language: How Semantics Fluctuates across Different Timescales
Develops ACW-based semantic timescale features showing longer autocorrelation windows associate with generic vocabulary and shorter ones with specific words in both human and LLM speech, with the pattern abolished by randomizing word order and timing.
-
Deviance from a pink noise regime in the temporal organization of semantic relations in psychosis
Patients with psychosis exhibit elevated DFA scaling exponents in BERT-derived semantic similarity time series from transcripts, indicating excessive persistence in semantic fluctuations.