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LLMs struggle to distinguish plausible from figurative language, unlike humans

A new research paper investigates the relationship between the plausibility of events and the use of figurative language. The study designed experiments with plausible and implausible event triples, analyzing human and LLM judgments. Findings indicate that humans are adept at nuanced detection and contextualization of non-literal or implausible events, whereas LLMs exhibit shallower contextualization and a tendency to favor implausible interpretations. AI

IMPACT This research highlights current limitations in LLM understanding of nuanced language and event plausibility.

RANK_REASON This is a research paper published on arXiv detailing experimental findings. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

LLMs struggle to distinguish plausible from figurative language, unlike humans

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This is a research paper published on arXiv detailing experimental findings. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Annerose Eichel, Tonmoy Rakshit, Sabine Schulte im Walde ·

    Contextualising (Im)plausible Events Triggers Figurative Language

    arXiv:2604.07885v2 Announce Type: replace Abstract: 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 ab…