English(EN) LANG: Reinforcement Learning for Multilingual Reasoning with Language-Adaptive Hint Guidance

新的LANG框架提升了大型语言模型的多语言推理能力

作者 PulseAugur 编辑部 · [2 个来源] · 2026-05-21 14:47

研究人员开发了一个名为LANG的新框架，以提高大型语言模型的多语言推理能力。该方法使用语言条件提示来引导模型完成非英语推理任务，解决了模型常出现的英语漂移问题。LANG包含逐渐减少对这些提示的依赖以及根据特定语言难点进行学习的机制，从而在不牺牲语言一致性的情况下提高了推理性能。 AI

影响增强了大型语言模型的多语言能力，可能拓宽其在非英语环境中的应用范围。

排序理由该集群包含一篇详细介绍改进大型语言模型推理的新框架的学术论文。

AI 生成摘要 · Google Gemini · 来自 2 个来源。我们如何撰写摘要 →

报道来源 [2]

arXiv cs.CL TIER_1 English(EN) · Yuchun Fan, Bei Li, Peiguang Li, Yilin Wang, Yongyu Mu, Jian Yang, Xin Chen, Rongxiang Weng, Jingang Wang, Xunliang Cai, Jingbo Zhu, Tong Xiao · 2026-05-22 04:00

LANG: Reinforcement Learning for Multilingual Reasoning with Language-Adaptive Hint Guidance

arXiv:2605.22567v1 Announce Type: new Abstract: Reinforcement learning has proven effective for enhancing multi-step reasoning in large language models (LLMs), yet its benefits have not fully translated to multilingual contexts. Existing methods struggle with a fundamental trade-…
arXiv cs.CL TIER_1 English(EN) · Tong Xiao · 2026-05-21 14:47

LANG: Reinforcement Learning for Multilingual Reasoning with Language-Adaptive Hint Guidance

Reinforcement learning has proven effective for enhancing multi-step reasoning in large language models (LLMs), yet its benefits have not fully translated to multilingual contexts. Existing methods struggle with a fundamental trade-off: prioritizing input-language consistency sev…