G-IdiomAlign is a gloss-pivoted benchmark with multiple-choice and generation protocols for evaluating cross-lingual idiom alignment in LLMs.
On Bilingual Lexicon Induction with Large Language Models
2 Pith papers cite this work. Polarity classification is still indexing.
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cs.CL 2years
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Random forests on string similarity features outperform LLMs for German dialect lexicon induction and boost dialect information retrieval by up to 50% in recall.
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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.
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Resource-Lean Lexicon Induction for German Dialects
Random forests on string similarity features outperform LLMs for German dialect lexicon induction and boost dialect information retrieval by up to 50% in recall.