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Bobby Cheng

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#artificial intelligence Preprint Sep 2026

Why Pretraining Fails to Share Cross-Lingual Knowledge

Large Language Models (LLMs) have made remarkable progress in the processing and modeling of many languages. Yet, unlike human multilinguals, they exhibit surprisingly limited cross-lingual knowledge transfer. While this limitation is well documented, its origins during multilingual training remain unclear. We pretrain...

Adam Gaber, Uriel Dolev, Elisabeth Fittschen et al. · 0 citations
Preprint Aug 2026

Skill Issue: Are Skills Language-Invariant in LLMs?

This work quantifies cross-lingual skill inconsistency orthogonally from knowledge and general benchmark performance via multilingual self-play, and shows that skill discrepancies are a measurable major roadblock in the development of truly multilingual models.

Bobby Cheng, Adam Gaber, Zhengzhe Liu et al. · 1 citation

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