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Cross-Lingual Consistency of Factual Knowledge in Multilingual Language Models
Conference on Empirical Methods in Natural Language Processing, 2023Multilingual large-scale Pretrained Language Models (PLMs) have been shown to store considerable amounts of factual knowledge, but large variations are observed across languages.
Jirui Qi, R. Fern'andez, Arianna Bisazza
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Annual Meeting of the Association for Computational Linguistics
Multilingual language models (MLMs) store factual knowledge across languages but often struggle to provide consistent responses to semantically equivalent prompts in different languages.
Mingyang Wang +6 more
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Multilingual language models (MLMs) store factual knowledge across languages but often struggle to provide consistent responses to semantically equivalent prompts in different languages.
Mingyang Wang +6 more
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Middle-Layer Representation Alignment for Cross-Lingual Transfer in Fine-Tuned LLMs
Annual Meeting of the Association for Computational LinguisticsWhile large language models demonstrate remarkable capabilities at task-specific applications through fine-tuning, extending these benefits across diverse languages is essential for broad accessibility.
Danni Liu, Jan Niehues
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Cross-Lingual Sentiment Relation Capturing for Cross-Lingual Sentiment Analysis
2017Sentiment connection is the basis of cross-lingual sentiment analysis (CSLA) solutions. Most of existing work mainly focus on general semantic connection that the misleading information caused by non-sentimental semantics probably lead to relatively low efficiency.
Qiang Chen +5 more
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Better to Ask in English: Cross-Lingual Evaluation of Large Language Models for Healthcare Queries
The Web Conference, 2023Large language models (LLMs) are transforming the ways the general public accesses and consumes information. Their influence is particularly pronounced in pivotal sectors like healthcare, where lay individuals are increasingly appropriating LLMs as ...
Yiqiao Jin +5 more
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Continual Pre-Training for Cross-Lingual LLM Adaptation: Enhancing Japanese Language Capabilities
arXiv.orgCross-lingual continual pre-training of large language models (LLMs) initially trained on English corpus allows us to leverage the vast amount of English language resources and reduce the pre-training cost.
Kazuki Fujii +9 more
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2019
The majority of natural language processing (NLP) is English language processing, and while there is good language technology support for (standard varieties of) English, support for Albanian, Burmese, or Cebuano-and most other languages-remains limited.
Søgaard, Anders +3 more
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The majority of natural language processing (NLP) is English language processing, and while there is good language technology support for (standard varieties of) English, support for Albanian, Burmese, or Cebuano-and most other languages-remains limited.
Søgaard, Anders +3 more
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2017
The project Cross-lingual Search should make finding information across language barriers possible. There is an ongoing debate on whether scientific and professional communication should be based on a lingua franca like English or whether national languages should also play a role.
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The project Cross-lingual Search should make finding information across language barriers possible. There is an ongoing debate on whether scientific and professional communication should be based on a lingua franca like English or whether national languages should also play a role.
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Cross-Lingual Information Retrieval
2004Structural and semantic interoperability have been the focus of digital library research in the early 1990s. Many research works have been done on searching and retrieving objects across variations in protocols, formats, and disciplines. As the World Wide Web has become more popular in the last ten years, information is available in multiple languages ...
Christopher Yang, Kar W. Li
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Evaluating Cross-Lingual Equating
International Journal of Testing, 2003Adapting educational tests from 1 language to others requires equating across the different language versions to be able to compare examinees from different language groups. Such equating is usually based on translated items considered to have similar content and psychometric characteristics in both source and target languages.
Joel Rapp, Avi Allalouf
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