arXiv Computation and Language By Yuxi Ma, Yongqian Peng, Junchen Lyu, Chi Zhang, Yixin Zhu

Timing is Everything: Temporal Scaffolding of Semantic Surprise in Humor

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The paper introduces the Dual Prediction Violation (DPV) framework to study how timing and semantic surprise interact in humor. Analyzing 828 Chinese stand‑up performances, it finds that temporal features—especially pauses before high‑surprise punchlines—are more predictive of audience appreciation than overall semantic incongruity. The study reframes humor as a temporally scaffolded phenomenon where timing and content coordinate strategically rather than independently.

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.

arXiv Computation and Language
Sep 11

Learning to Think Like a Cartoon Captionist: Incongruity-Resolution Supervision for Multimodal Humor Understanding

The paper introduces IRS (Incongruity-Resolution Supervision), a framework that breaks humor understanding into three parts: identifying mismatches in a visual scene, creating coherent reinterpretations of those mismatches, and aligning these interpretations with human preferences. IRS uses structured reasoning traces to guide models from visual perception to humorous interpretation, and it is evaluated on the New Yorker Cartoon Caption Contest. Experiments on 7B, 32B, and 72B models show that IRS improves caption matching and ranking, with the 72B model achieving 76.10% ranking accuracy—outperforming non-expert humans and all other multimodal baselines—and demonstrates transferable reasoning patterns in zero‑shot settings.

By Hatice Merve Vural, Doga Kukul, Ege Erdem Ozlu, Demir Ekin Arikan, Bob Mankoff, Erkut Erdem, Aykut Erdem