Papers by Nellia Dzhubaeva

1 papers
Unstructured Minds, Predictable Machines: A Comparative Study of Narrative Cohesion in Human and LLM Stream-of-Consciousness Writing (2025.acl-srw)

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Challenge: Stream-of-consciousness narratives are a challenge for large language models (LLMs) authors examined differences between human and LLM-generated narratives to assess narrative coherence and personality expression.
Approach: They generate SoC narratives by prompting LLMs with the first half of SoC-essays while either providing the models with the personality characteristics (Big Five) or omitting them.
Outcome: The proposed models showed low similarity between LLM-generated continuations and original human texts, as measured by cosine similarity, perplexity, and BLEU scores.

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