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multilingual language models

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papersTODAY 04:00 UTC

Adaptive Language Sampling Method Targets Cross-Lingual Transfer for Low-Resource Languages

A new arXiv paper proposes an online adaptive sampling strategy for realigning multilingual language models, aiming to improve cross-lingual transfer to extremely low-resource languages. The authors note that existing realignment approaches typically use uniform or random sampling, which may underuse informative language pairs. Their method adjusts sampling dynamically as training proceeds within a distributed setup.

papersTODAY 04:00 UTC

Study Extends Retrieval-Head Analysis to Multilingual Language Models

Researchers extend prior work on retrieval heads — attention heads that pull information out of context — from English to multilingual models. They identify retrieval heads and a separate class of retrieval-transition heads, and report that behavior differs across languages. The work is a revised arXiv preprint in computation and language.