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Found 3 papers, 2 papers with code
Language Imbalance Can Boost Cross-lingual Generalisation
In controlled experiments on perfectly equivalent cloned languages, we observe that the existence of a predominant language during training boosts the performance of less frequent languages and leads to stronger alignment of model representations across languages.
On the Effect of (Near) Duplicate Subwords in Language Modelling
In this paper, we study the impact of near duplicate subwords on LM training efficiency.
Towards Automated Anamnesis Summarization: BERT-based Models for Symptom Extraction
Professionals in modern healthcare systems are increasingly burdened by documentation workloads.
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