Papers with multilingual reasoning abilities

3 papers
The Reasoning Lingua Franca: A Double-Edged Sword for Multilingual AI (2026.eacl-short)

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Challenge: Large Reasoning Models (LRMs) are highly effective on mathematical, scientific, and other question-answering tasks.
Approach: They compare an LRM's reasoning in English to that of a multilingual question . they find that English reasoning traces exhibit a substantially higher presence of cognitive behaviors .
Outcome: The LRMs generate reasoning sequences in English, but the language of the question is not.
Question Translation Training for Better Multilingual Reasoning (2024.findings-acl)

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Challenge: Large language models have shown compelling performance on reasoning tasks but they tend to perform much worse in languages other than English.
Approach: They propose to train a model to translate reasoning questions into English by fine tuning on X-English parallel question data.
Outcome: The proposed approach improves on LLaMA2-13B on the MGSM and MSVAMP multilingual reasoning benchmarks.
Multilingual Reasoning via Self-training (2025.naacl-long)

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Challenge: Recent studies have introduced eclectic strategies to improve reasoning beyond English, but these methods are related to specific language that is not always optimal for reasoning.
Approach: They propose a modular approach that instructs models to structure reasoning passages in a different problem space and then self-refines their capabilities to deliver step-wise reasoning passage.
Outcome: The proposed approach achieves significant improvements in multilingual reasoning of various models and task, with improved reasoning consistency across languages.

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