Fig. 4: Identification of event sequencing moments using LLMs based on moment-by-moment narrative coherence.
From: Hippocampal systems for event encoding and sequencing during ongoing narrative comprehension
a An LLM pre-trained on the NSP task assessed logical and causal relationships between narrative segments by measuring the likelihood that one sentence follows another. b Initial pairwise NSP likelihoods showed bias toward adjacent segments due to shared semantics. After controlling for semantic similarities, we identified narrative relationships between distant events, enabling detection of sequencing moments (red box) c LLM-derived narrative coherence correlated significantly with group-level narrative comprehension during movie viewing, as previously reported by participants5. High-coherence moments (red dots, top 50) were identified as likely sequencing moments. d LLM-generated narrative coherence showed robust correlation with human-rated narrative comprehension, while NSP likelihood without semantic control and semantic similarity alone showed no correlation. Null distributions, generated from phase-randomized time series, are indicated in gray.
