When Less Language is More: Language-Reasoning Disentanglement Makes LLMs Better Multilingual Reasoners

NeurIPSSpotlight2025

Authors
Weixiang Zhao, Jiahe Guo, Yang Deng, Tongtong Wu, Wenxuan Zhang, Yulin Hu, Xingyu Sui, Yanyan Zhao, Wanxiang Che, Bing Qin, Tat-Seng Chua, Ting Liu
Venue
NeurIPS 2025
Track
Spotlight

TL;DR

Multilingual reasoning remains a significant challenge for large language models (LLMs), with performance disproportionately favoring high-resource languages…

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Topics

large language model language model reasoning llm

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