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arXiv Computation and Language By Lizeth Palacios Pati\~no, Ximena Gutierrez-Vasques, Daniel Rodriguez

Spotting the Artificial: Dialogic Humor Improvisation in Humans and LLMs

Read the original on arXiv Computation and Language →

The paper introduces a method to compare human and large language model (LLM) outputs in the context of humorous improvisational dialogue. Using a multi‑agent environment, the authors analyze both automated linguistic metrics and manual annotations based on Systemic Functional Linguistics. Findings reveal that while LLMs can produce coherent and creative scenes, they often lack the spontaneity of human interaction and tend to be overly polite, unlike the varied attitudes seen in human comedy.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Computation and Language.

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