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Culturally aware natural language inference
Humans produce and consume language in a particular cultural context, which includes
knowledge about specific norms and practices. A listener's awareness of the cultural context …
knowledge about specific norms and practices. A listener's awareness of the cultural context …
Latxa: An open language model and evaluation suite for Basque
We introduce Latxa, a family of large language models for Basque ranging from 7 to 70
billion parameters. Latxa is based on Llama 2, which we continue pretraining on a new …
billion parameters. Latxa is based on Llama 2, which we continue pretraining on a new …
MKQA: A linguistically diverse benchmark for multilingual open domain question answering
Progress in cross-lingual modeling depends on challenging, realistic, and diverse
evaluation sets. We introduce Multilingual Knowledge Questions and Answers (MKQA), an …
evaluation sets. We introduce Multilingual Knowledge Questions and Answers (MKQA), an …
Lost in translation: large language models in non-English content analysis
In recent years, large language models (eg, Open AI's GPT-4, Meta's LLaMa, Google's
PaLM) have become the dominant approach for building AI systems to analyze and …
PaLM) have become the dominant approach for building AI systems to analyze and …
Do multilingual language models think better in English?
Translate-test is a popular technique to improve the performance of multilingual language
models. This approach works by translating the input into English using an external machine …
models. This approach works by translating the input into English using an external machine …
Detecting and mitigating hallucinations in multilingual summarisation
Hallucinations pose a significant challenge to the reliability of neural models for abstractive
summarisation. While automatically generated summaries may be fluent, they often lack …
summarisation. While automatically generated summaries may be fluent, they often lack …
Few-shot learning with multilingual language models
Large-scale generative language models such as GPT-3 are competitive few-shot learners.
While these models are known to be able to jointly represent many different languages, their …
While these models are known to be able to jointly represent many different languages, their …