Author

Yana Veitsman

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#natural language process... Mar 2026

Why Better Cross-Lingual Alignment Fails for Better Cross-Lingual Transfer: Case of Encoders

It is found that embedding-based alignment metrics do not reliably indicate whether alignment will improve or degrade downstream performance, and that the compatibility between alignment and downstream objectives should be considered when designing/evaluating alignment methods.

Yana Veitsman, Yihong Liu, Hinrich Schütze · arXiv.org · 0 citations

#artificial intelligence Preprint Sep 2026

Structural priors for data-efficient language learning

Non-language data can serve as a partial substitute for language data for the training objective of next-token prediction but does not reliably support broader linguistic generalization, and transfer from non-language data is less efficient than additional language data.

Yana Veitsman, Jonas Mayer Martins, Jonathan Lautenschlager et al. · 1 citation