ADAGE: A Language-Agnostic Pipeline for Analogical Reasoning Evaluation
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Computer Science > Computation and Language
Title:ADAGE: A Language-Agnostic Pipeline for Analogical Reasoning Evaluation
Abstract:Multilingual reasoning evaluation overwhelmingly relies on translating English benchmarks, a practice that introduces linguistic artifacts and fails to test culturally-grounded reasoning. We introduce ADAGE (Analogical Difficulty-by-design Assessment for Grounded Evaluation), a language-agnostic pipeline that combines native-speaker curation with LLM-assisted generation to construct challenging, translation-free benchmarks for abstract analogical reasoning. We validate ADAGE by constructing benchmarks for Arabic, Amharic, and Japanese. Evaluating 14 open-weight models, we find a consistent cultural reasoning gap: models that perform well on English proverb reasoning struggle substantially on all three native benchmarks, with accuracy dropping by 12--52 percentage points relative to English. We release the pipeline, all three benchmarks, and the full evaluation suite.
| Subjects: | Computation and Language (cs.CL); Artificial Intelligence (cs.AI) |
| Cite as: | arXiv:2607.23058 [cs.CL] |
| (or arXiv:2607.23058v1 [cs.CL] for this version) | |
| https://doi.org/10.48550/arXiv.2607.23058
arXiv-issued DOI via DataCite (pending registration)
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