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Narrative coherence in neural language models.

Alessandro Acciai1, Lucia Guerrisi1, Pietro Perconti1

  • 1Department of Cognitive Science, University of Messina, Messina, Italy.

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Summary

Large language models like GPT-3.5 and GPT-4 demonstrate human-like narrative coherence in autobiographical stories. This suggests sophisticated internal knowledge integration, comparable to a personal self in humans.

Keywords:
cognitive psychologygenerative AImachine psychologynarrative coherenceneural language models

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Area of Science:

  • Cognitive Science
  • Artificial Intelligence
  • Computational Linguistics

Background:

  • Neural language models exhibit human-like linguistic behaviors, suggesting complex underlying cognitive systems.
  • Psychological theories, particularly on narrative coherence, are being adopted to investigate these systems.
  • The concept of a 'self' in humans is linked to a highly integrated personal knowledge system.

Purpose of the Study:

  • To investigate the potential for coherent integration in neural language model (NLM) language production.
  • To explore if NLMs possess a core of integration analogous to human personal identity.
  • To apply psychological theories of narrative coherence to NLM-generated autobiographical stories.

Main Methods:

  • Utilized a psychological theory correlating narrative coherence with knowledge system integration.
  • Applied quantitative methodologies for analyzing coherence in autobiographical texts.
  • Generated 4020 autobiographical stories from GPT-3.5 and GPT-4, varying roles (gender, mood, age).
  • Developed an automated coherence evaluation procedure, fine-tuned with psychologist-analyzed samples.

Main Results:

  • NLM-generated stories exhibited narrative coherence levels comparable to human subjects.
  • GPT-4 showed slightly higher narrative coherence than GPT-3.5.
  • Results indicate a high degree of knowledge unification within the models.

Conclusions:

  • NLMs demonstrate a sophisticated level of knowledge integration, mirroring the human self.
  • The findings support the idea of emergent complex cognitive structures in advanced AI.
  • Further research can explore the nature and implications of this AI-driven knowledge integration.