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Found 2 papers, 2 papers with code
Simple Techniques for Enhancing Sentence Embeddings in Generative Language Models
Sentence Embedding stands as a fundamental task within the realm of Natural Language Processing, finding extensive application in search engines, expert systems, and question-and-answer platforms.
CoT-BERT: Enhancing Unsupervised Sentence Representation through Chain-of-Thought
Unsupervised sentence representation learning endeavors to transform input sentences into fixed-length vectors enriched with intricate semantic information while obviating the reliance on labeled data.
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