Why Do Multilingual Reasoning Gaps Emerge in Reasoning Language Models?
Paper
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2510.27269
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Published
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7
This repository provides mmBERT-based detectors introduced in our paper "Why Do Multilingual Reasoning Gaps Emerge in Reasoning Language Models?".
We release mmBERT detector checkpoints trained for Qwen3-4B, using two training setups:
For each setup, we provide three independent seeds:
These detectors are intended for research use in analyzing multilingual reasoning gaps and understandability-related behaviors.
If you find this repository useful, please cite:
@misc{kang2025multilingualreasoninggapsemerge,
title={Why Do Multilingual Reasoning Gaps Emerge in Reasoning Language Models?},
author={Deokhyung Kang and Seonjeong Hwang and Daehui Kim and Daehui Kim and Hyounghun Kim and Gary Geunbae Lee},
year={2025},
eprint={2510.27269},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2510.27269},
}
Base model
jhu-clsp/mmBERT-base