Papers with English-oriented

2 papers
Too Late to Train, Too Early To Use? A Study on Necessity and Viability of Low-Resource Bengali LLMs (2025.coling-main)

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Challenge: a new generation of English-oriented Large Language Models significantly outperforms older LLMs on low-resource languages.
Approach: They compare Bengali-oriented LLMs with open-weight and closed-source LLM models . they conclude that there is a need for a Bengali model, but lacks high-quality pretraining data .
Outcome: The proposed model outperforms existing models on Bengali on low-resource languages . the results highlight biases in machine-translated datasets used for Bengali NLP tasks .
DaNewsroom: A Large-scale Danish Summarisation Dataset (2020.lrec-1)

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Challenge: Existing datasets for automatic summarisation are English-oriented . however, only very limited datasets exist in languages other than English .
Approach: They present the first large-scale non-English dataset specifically curated for automatic summarisation.
Outcome: The proposed dataset is the first for the Danish language and is compared with existing datasets.

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