IdioLink: Retrieving Meaning Beyond Words Across Idiomatic and Literal Expressions
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Computer Science > Computation and Language
Title:IdioLink: Retrieving Meaning Beyond Words Across Idiomatic and Literal Expressions
Abstract:Idioms pose a fundamental challenge for language models, as their meaning cannot be inferred from surface form alone. Understanding such expressions, therefore, requires semantic abstraction beyond lexical overlap. We introduce IdioLink, a retrieval benchmark designed to test whether models can link idiomatic expressions to conceptually equivalent meanings expressed in literal or paraphrased forms. IdioLink comprises 10,700 documents and 2,140 queries, spanning 107 idioms with both literal and figurative uses. Each document and query is annotated with spans that convey the core meaning. Evaluating strong embedding baselines (e.g., BGE, E5, Contriever, and Qwen), we show that current models struggle to retrieve equivalent meanings across divergent surface realizations, relying instead on topical and shallow semantic cues. IdioLink exposes key gaps in idiom-aware semantic retrieval and provides a challenging testbed for future models.
| Subjects: | Computation and Language (cs.CL) |
| Cite as: | arXiv:2605.22247 [cs.CL] |
| (or arXiv:2605.22247v1 [cs.CL] for this version) | |
| https://doi.org/10.48550/arXiv.2605.22247
arXiv-issued DOI via DataCite (pending registration)
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Submission history
From: Kai Golan Hashiloni [view email][v1] Thu, 21 May 2026 09:53:10 UTC (649 KB)
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