Code Issues Pull requests Pre-trained subword embeddings in 275 languages, based on Byte-Pair Encoding (BPE) multilingual nlp natural-language-processing embeddings subword-embeddings Updated Oct 1, 2024 Python google-research-datasets / wit Star 1k Code Issues Pull requests WIT (Wikipedia-based...
Significant research has explored bias and fairness issues with language models (see, e.g., Sheng et al. (2021) and Bender et al. (2021)). Predictions generated by the model may include disturbing and harmful stereotypes across protected classes; identity characteristics; and sensitive, social,...
In short, opening a PR to remove/add the config can solve the issues. ️1 nbroad1881 commented on Aug 17, 2024 nbroad1881 on Aug 17, 2024 https://huggingface.co/Alibaba-NLP/gte-multilingual-base/discussions/7#66bfb82ea03b764ca92a2221 👍2 sigridjineth commented on Aug 17, 2024...
Lucia Specia, the article discusses the intricacies of working with multilingual data, including issues of disambiguation and model design. Additionally, it explores the opportunities presented by advancements in ANUG, emphasizing the need for collaborative efforts and increased research focus on Arabic ...
Multiple-choice test generation is one of the most complex NLP problems, especially in languages other than English, where there is a lack of prior research. After a review of the literature, it has been verified that some methods like the usage of rule-
not only in English but also in languages with fewer resources. In this sense, an important goal of the workshop will be to understand the impact of using LLMs, considering for example how to deal with pressing issues such as biases, hallucinated content, data scarcity or data contamination....
issues. Texts in most multimodal datasets are usually only available in high-resource languages. Second, multilingual multimodal research provides opportunities to investigate culture-related phenomena. On top of the language imbalance issue in text-based corpora and models, the data of additional ...
Michael Cronin examines the role of translation with regard to the debates around emerging digital technologies and analyses their social, cultural and political consequences, guiding readers through the beginnings of translation's engagement with technology, and through to the key issues that exist ...
However, current gender debiasing methods in NLP are not sufficient to debias other issues related to EDI in the end-to-end systems of many language technology applications; this causes unrest and escalates the issues with EDI besides leading to greater inequality on digital platforms [47]. The...
Lastly, considering the computational costs, our final model is in 8B scale, in the future, we will switch the training progress to a larger architecture with retrieval augmentation, which can potentially achieve better results, while alleviating hallucination issues. ...