Cross-lingual Self-Consistency for Multilingual Reasoning with Language Models 事件

Cross-lingual Self-Consistency for Multilingual Reasoning with Language Models arXiv:2606.01464v1 Announce Type: new Abstract: Despite expanding their multilingual coverage, the advanced reasoning capabilities of LLMs remain largely confined to a few high-resource languages like English. To address this, we propose an unsupervised Reinforcement Learning (RL) approach to enhance multilingual reasoning by enforcing cross-lingual self-consistency: the principle that a model should produce the same