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Found 8 papers, 4 papers with code
Text Embedding Inversion Security for Multilingual Language Models
However, storing sensitive information as embeddings can be vulnerable to security breaches, as research shows that text can be reconstructed from embeddings, even without knowledge of the underlying model.
Patterns of Persistence and Diffusibility across the World's Languages
Language similarities can be caused by genetic relatedness, areal contact, universality, or chance.
Patterns of Closeness and Abstractness in Colexifications: The Case of Indigenous Languages in the Americas
Colexification refers to linguistic phenomena where multiple concepts (meanings) are expressed by the same lexical form, such as polysemy or homophony.
CreoleVal: Multilingual Multitask Benchmarks for Creoles
Creoles represent an under-explored and marginalized group of languages, with few available resources for NLP research. While the genealogical ties between Creoles and a number of highly-resourced languages imply a significant potential for transfer learning, this potential is hampered due to this lack of annotated data.
Cross-view Semantic Alignment for Livestreaming Product Recognition
Moreover, a cRoss-vIew semantiC alignmEnt (RICE) model is proposed to learn discriminative instance features from the image and video views of the products.
Colexifications for Bootstrapping Cross-lingual Datasets: The Case of Phonology, Concreteness, and Affectiveness
Colexification refers to the linguistic phenomenon where a single lexical form is used to convey multiple meanings.
MigrationsKB: A Knowledge Base of Public Attitudes towards Migrations and their Driving Factors
The goal of this study is the analysis of social media platform to quantify public attitudes towards migrations and the identification of different factors causing these attitudes.
Efficient Residual Dense Block Search for Image Super-Resolution
Focusing on this issue, we propose an efficient residual dense block search algorithm with multiple objectives to hunt for fast, lightweight and accurate networks for image super-resolution.
