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Leveraging LLMs for Synthesizing Training Data Across Many Languages in Multilingual Dense Retrieval.

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Contextual confidence measures for continuous speech recognition., and . ICASSP, page 1803-1806. IEEE, (2000)Efficient phone based recognition engines for Chinese and English isolated command applications., , , , , , and . ISCSLP, ISCA, (2002)Effective Parallel Corpus Mining using Bilingual Sentence Embeddings., , , , , , , , , and 1 other author(s). WMT, page 165-176. Association for Computational Linguistics, (2018)Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Models., , , , , , and . ACL (Findings), page 1864-1874. Association for Computational Linguistics, (2022)Multilingual Universal Sentence Encoder for Semantic Retrieval., , , , , , , , , and 2 other author(s). ACL (demo), page 87-94. Association for Computational Linguistics, (2020)Partial Classification in Speech Recognition Verification., and . IWANN (2), volume 2085 of Lecture Notes in Computer Science, page 279-286. Springer, (2001)Non Parametric Coding of Speech by Means of a MLP with Hints., , and . IWANN, volume 1240 of Lecture Notes in Computer Science, page 1068-1074. Springer, (1997)Leveraging LLMs for Synthesizing Training Data Across Many Languages in Multilingual Dense Retrieval., , , , , and . NAACL-HLT, page 7699-7724. Association for Computational Linguistics, (2024)Improving Multilingual Sentence Embedding using Bi-directional Dual Encoder with Additive Margin Softmax., , , , , , , , and . IJCAI, page 5370-5378. ijcai.org, (2019)Large Dual Encoders Are Generalizable Retrievers., , , , , , , , , and 1 other author(s). EMNLP, page 9844-9855. Association for Computational Linguistics, (2022)