Post-Training Language Models for Crosslingual Consistency 事件
PRODUCT_LAUNCH2026-05-29影响: MEDIUM
Post-Training Language Models for Crosslingual Consistency arXiv:2603.04678v3 Announce Type: replace Abstract: Language models often respond inconsistently to translation-equivalent prompts across languages, undermining the reliability of multilingual systems. To quantify this, we give an information-theoretic definition of crosslingual consistency as a divergence bound between a model's response distribution and its round-trip pushforward across languages. We then introduce penalized consisten
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Post-Training Language Models for Crosslingual Consistency
ArXiv CS.CL2026-05-29