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Probing Language Models for Understanding of Temporal Expressions

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arxiv 2110.01113 v1 pith:5PUKRZQV submitted 2021-10-03 cs.CL

Shivin Thukral , Kunal Kukreja , Christian Kavouras This is my paper · ORCID
classification cs.CL
keywords modelstemporalexpressionslanguagepointstimeunderstandinglarge
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We present three Natural Language Inference (NLI) challenge sets that can evaluate NLI models on their understanding of temporal expressions. More specifically, we probe these models for three temporal properties: (a) the order between points in time, (b) the duration between two points in time, (c) the relation between the magnitude of times specified in different units. We find that although large language models fine-tuned on MNLI have some basic perception of the order between points in time, at large, these models do not have a thorough understanding of the relation between temporal expressions.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Discrete Minds in a Continuous World: Do Language Models Know Time Passes?

    cs.CL 2025-06 conditional novelty 5.0 of 10

    LLMs can judge relative response lengths and shorten outputs under urgency, but the claim that they perceive physical time passage is not cleanly established.

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