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This is a Quantitative Study study.

October 2, 2025Open Access

Best-of-L: Cross-Lingual Reward Modeling for Mathematical Reasoning

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Authors

SRSara RajaeeIran University of Science and Technology RCRochelle ChoenniUniversity of Amsterdam ESEkaterina ShutovaRotterdam University of Applied Sciences

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Implication

The study shows cross-lingual reward modeling significantly improves mathematical reasoning in LLMs, suggesting methods to leverage language diversity.

Key Points

Cross-lingual reward modeling substantially enhances mathematical reasoning performance across languages.
Results indicated that even high-resource languages benefit from the proposed cross-lingual approach.
English showed the best performance, with particular improvements noted under low sampling budgets.
Findings highlight new strategies to enhance multilingual reasoning using diverse language strengths.

Cite This Study

Rajaee et al. (2025) studied this question.

synapsesocial.com/papers/68de6f3f83cbc991d0a22da0 https://doi.org/10.48550/arxiv.2509.15811

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Implication

The study shows cross-lingual reward modeling significantly improves mathematical reasoning in LLMs, suggesting methods to leverage language diversity.

Best-of-L: Cross-Lingual Reward Modeling for Mathematical Reasoning

Discussion

Member takes

Implication

Key Points

Cite This Study

Best-of-L: Cross-Lingual Reward Modeling for Mathematical Reasoning

Discussion

Member takes

Implication

Key Points

Cite This Study

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