mlsanityData to 7 Oct 2026

Contextualising (Im)plausible Events Triggers Figurative Language

arXiv 2604.07885 ↗First posted 9 Apr 2026cs.CLcited by 0

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Abstract (arXiv)

This work explores the connection between (non-)literalness and plausibility at the example of subject-verb-object events in English. We design a systematic setup of plausible and implausible event triples in combination with abstract and concrete constituent categories. Our analysis of human and LLM-generated judgments and example contexts reveals substantial differences between assessments of plausibility. While humans excel at nuanced detection and contextualization of (non-)literal vs. implausible events, LLM results reveal only shallow contextualization patterns with a bias to trade implausibility for non-literal, plausible interpretations.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 6 of its 24 references that are in the map. First posted on arXiv 9 Apr 2026.

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6 of 24 references.

References · 6

  1. 2024The Llama 3 Herd of Modelscited by 14,192
  2. 2018Modeling Semantic Plausibility by Injecting World Knowledgecited by 24
  3. 2024Log Probabilities Are a Reliable Estimate of Semantic Plausibility in Base and Instruction-Tuned Language Modelscited by 24
  4. 2021Modeling Event Plausibility with Consistent Conceptual Abstractioncited by 20
  5. 2019Can a Gorilla Ride a Camel? Learning Semantic Plausibility from Textcited by 9
  6. 2024A Dataset for Physical and Abstract Plausibility and Sources of Human Disagreementcited by 3

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