AI RESEARCH
LitVISTA: A Benchmark for Narrative Orchestration in Literary Text
arXiv CS.AI
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ArXi:2601.06445v2 Announce Type: replace-cross Computational narrative analysis aims to capture rhythm, tension, and emotional dynamics in literary texts. Existing large language models can generate long stories but overly focus on causal coherence, neglecting the complex story arcs and orchestration inherent in human narratives. This suggests a structural misalignment between model- and human-generated narratives. We. therefore.