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Cao, H. Recent advances in text embedding: A comprehensive review of top-performing methods on the mteb benchmark.   
05/12/2024, 17:53
Chaitanya, E. D. R. D. ADVANCMENTS IN TEXT SUMMARIZATION AND EXTRACTIVE QUESTION- ANSWERING: A MACHINE LEARNING APPROACH.   
05/12/2024, 17:53
Ciancone, M., Kerboua, I., Schaeffer, M., & Siblini, W. Extending the Massive Text Embedding Benchmark to French.   
05/12/2024, 17:53
Czinczoll, T., Hönes, C., Schall, M., & family=Melo. Masked Language Modeling with Higher-Level Representations for Long Documents.   
05/12/2024, 17:53
Huang, X., Peng, H., Zou, D., Liu, Z., Li, J., & Liu, K., et al. CoSENT: Consistent Sentence Embedding via Similarity Ranking.   
05/12/2024, 17:53
Jayasinghe, S., Rambukkanage, L., Silva, A., & family=Silva. Learning Sentence Embeddings In The Legal Domain with Low Resource Settings.   
05/12/2024, 17:53
Lin, J. J., Pradeep, R., Teofili, T., & Xian, J. Vector Search with OpenAI Embeddings: Lucene Is All You Need.   
05/12/2024, 17:53
Qin, G., & Van Durme, B. Nugget: Neural Agglomerative Embeddings of Text.   
05/12/2024, 17:53
Wang, A., Wang, C., Zhou, Z., & Mahankali, A. V. 2-Tier SimCSE: Elevating BERT for Robust Sentence Embeddings.   
05/12/2024, 17:53
Zhang, X., Li, Z., Zhang, Y., Long, D., Xie, P., & Zhang, M., et al. Language Models are Universal Embedders.   
05/12/2024, 17:53
WIKINDX 6.11.0 | Total resources: 209 | Username: -- | Bibliography: WIKINDX Master Bibliography | Style: American Psychological Association (APA)