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Found 3 papers, 1 papers with code
Byte-based Multilingual NMT for Endangered Languages
We propose a byte-based multilingual neural machine translation system (BMNMT) to alleviate the representation bottleneck and improve translation performance in endangered languages.
Retrieval Augmented Generation for Domain-specific Question Answering
Question answering (QA) has become an important application in the advanced development of large language models.
Matrix Sketching for Secure Collaborative Machine Learning
Collaborative learning allows participants to jointly train a model without data sharing.
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