MIDI is a new multilingual idiom dataset with sentence and conversational contexts; benchmarking reveals worse performance in low-resource languages and on literal vs. figurative uses.
A Hard Nut to Crack: Idiom Detection with Conversational Large Language Models
4 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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cs.CL 4years
2026 4verdicts
UNVERDICTED 4representative citing papers
IdioLink introduces a benchmark dataset and evaluation showing that strong embedding models struggle to retrieve equivalent meanings across idiomatic and literal forms, relying on shallow cues instead.
LLMs recover dominant binomial orders from corpora but align less closely with exact preference distributions, with preference strength partially encoded in middle-to-late layers and manipulable via steering.
G-IdiomAlign is a gloss-pivoted benchmark with multiple-choice and generation protocols for evaluating cross-lingual idiom alignment in LLMs.
citing papers explorer
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Multilingual Idioms in Sentences and Conversations Across High-, Medium-, and Low-Resource Languages
MIDI is a new multilingual idiom dataset with sentence and conversational contexts; benchmarking reveals worse performance in low-resource languages and on literal vs. figurative uses.
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IdioLink: Retrieving Meaning Beyond Words Across Idiomatic and Literal Expressions
IdioLink introduces a benchmark dataset and evaluation showing that strong embedding models struggle to retrieve equivalent meanings across idiomatic and literal forms, relying on shallow cues instead.
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Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models
LLMs recover dominant binomial orders from corpora but align less closely with exact preference distributions, with preference strength partially encoded in middle-to-late layers and manipulable via steering.
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G-IdiomAlign: A Gloss-Pivoted Benchmark for Cross-Lingual Idiom Alignment
G-IdiomAlign is a gloss-pivoted benchmark with multiple-choice and generation protocols for evaluating cross-lingual idiom alignment in LLMs.